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UNIT II – PULSE MODULATION
Low pass sampling theorem
Quantization
Types of pulse modulation
PAM
PCM
DPCM
DM
ADPCM
ADM
Time Division Multiplexing
Frequency Division Multiplexing.
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PULSE MODULATION
 In Analog modulation both carrier and modulating signal
are in analog.
 In pulse modulation ,modulation signal is analog signal but
carrier signal is discrete pulse signal.
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SAMPLING THEOREM
 This provides a mechanism for representing a continuous
time signal by a discrete time signal, taking sufficient
number of samples of signal so that original signal is
represented in its samples completely. It can be stated as:
(i) A band-limited signal of finite energy with
no frequency component higher than fm Hz, is completely
described by its sample values which are at uniform
intervals less than or equal to 1/2fm seconds apart.
[Ts=1 / 𝟐𝒇𝒎 ]where Ts is sampling time.
 Sampling frequency must be equal to or higher than 2fm
Hz. [fs ≥ 2fm]
 A continuous time signal may be completely represented
in samples and recovered back, if fs≥2fm, where fs is
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SAMPLING THEOREM
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SAMPLING THEOREM
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SAMPLING THEOREM
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SAMPLING THEOREM
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SAMPLING THEOREM
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ALIASING EFFECT
The overlapped region in case of under sampling represents
Aliasing effect. It can be termed as “the phenomenon of a
high-frequency component in the spectrum of a signal, taking
on the identity of a lower-frequency component in the
spectrum of its sampled version.
This effect can be removed by considering
(i) fs >2fm or
(ii) by using anti aliasing filters which are low pass filters and
eliminate high frequency components
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TYPES OF SAMPLING TECHNIQUES
There are three types of Sampling Techniques
 Impulse sampling (or) Ideal Sampling (or) Instantaneous
Sampling
 Natural sampling
 Flat Top sampling (or) Rectangular Pulse Sampling
IMPULSE SAMPLING:
• Impulse Sampling is obtained by multiplying input signal x(t)
with impulse train of period 'Ts. Also called ideal
sampling. Practically not used because pulse width cannot be
zero and the generation of impulse train not possible.
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TYPES OF SAMPLING TECHNIQUES
NATURAL SAMPLING
 This type of sampling similar to
ideal sampling except for the fact that
instead of delta function, now we use
rectangular train of period Ts. i.e. multiply
input signal x(t) to pulse train
 An electronic switch is used to
periodically shift between the two contacts
at a rate of fs = (1/Ts ) Hz, staying on the
input contact for C seconds and on the
grounded contact for the remainder of each
sampling
 The output xs(t) of the sampler
consists of segments of x(t) and hence Xs(t)
can be considered as the product of x(t) and
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TYPES OF SAMPLING TECHNIQUES
Flat Top sampling:
During transmission, noise is introduced at
top of the transmission pulse which can be
easily removed if the pulse is in the form
of flat top.
Here, the top of the samples are flat i.e.
they have constant amplitude and is equal
to the instantaneous value of the baseband
signal x(t) at the start of sampling. Hence, it
is called as flat top sampling or practical
sampling.
Flat top sampling makes use of sample
and hold circuit
Theoretically, the sampled signal can be
obtained by convolution of rectangular
pulse h(t) with ideally sampled signal
,sδ(t)
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APERTURE EFFECT
Spectrum of flat topped sample is given by
G(f)=fs ∑〖𝑿(𝒇−𝒏𝒇𝒔)𝑯(𝒇)〗 , where H(f)= τ.sin c(fs.t)𝒆^(−𝒋𝝅𝒇𝝉)
This equation shows that signal g(t) is obtained by passing the
signal s(t) through a filter having transfer function H(f).
Figure(a) shows one pulse of rectangular pulse train and each sample of
x(t) i.e. s(t) is convolved with this pulse
Figure (b) shows the spectrum of this pulse. Thus, flat top sampling
introduces an amplitude distortion in reconstructed signal x(t) from g(t).
There is a high frequency roll off making H(f) act like a LPF, thus
attenuating the upper portion of message signal spectrum. This is
known as aperture effect
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TYPES OF PULSE MODULATION
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NYQUIST RATE AND NYQUIST INTERVAL
NYQUIST RATE
When the sampling rate becomes exactly equal to 2fm
samples/ sec, for a signal bandwidth fm, then it is called Nyquist
Rate.
fs = 2fm Samples/sec
NYQUIST INTERVAL
It is the time interval between any two adjacent samples
when sampling rate is Nyquist rate.
Ts= ½ fm, Ts-> Sampling time.
QUANTIZATION
The digitization of analog signals involves the
rounding off of the values which are approximately equal to the
analog values. The method of sampling chooses a few points
on the analog signal and then these points are joined to round
off the value to a near stabilized value. Such a process is called
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QUANTIZATION OF ANALOG SIGNAL
The analog-to-digital converters
perform this type of function to
create a series of digital values out
of the given analog signal. The
figure represents an analog signal.
This signal to get converted into
digital, has to undergo sampling and
quantizing.
The quantizing of an analog
signal is done by discretizing the
signal with a number of quantization
levels. Quantization is representing
the sampled values of the amplitude
by a finite set of levels, which
means converting a continuous-
amplitude sample into a discrete-
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QUANTIZATION OF ANALOG SIGNAL
TYPES OF QUANTIZATION
• There are two types of
Quantization - Uniform
Quantization and Non-uniform
Quantization.
• The type of quantization in which
the quantization levels are
uniformly spaced is termed as
a Uniform Quantization. The
type of quantization in which the
quantization levels are unequal
and mostly the relation between
them is logarithmic, is termed as
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TYPES OF PULSE MODULATION
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PULSE AMPLITUDE MODULATION
DEFINITION
Pulse Amplitude Modulation (PAM) is an analog
modulating scheme in which the amplitude of the
pulse carrier varies proportional to the instantaneous
amplitude of the message signal.
GENERATION OF PAM
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PULSE AMPLITUDE MODULATION
GENERATION OF PAM
Here the modulating signal is given to the low pass filter in order to
band limit the message signal.
The LPF at the beginning is placed in order to avoid aliasing of the
samples. The LPF passes only the low-frequency component of the
signal and eliminates the high-frequency signal component. The output
of LPF is then provided to a modulator, where it gets mixed with the
rectangular pulse train.
Basically, the pulsed carrier gets modulated by the message signal
here. The rectangular carrier pulse is generated by the pulse generator
circuit.
The modulator generates a pulse amplitude modulated signal. The
sampled pulses can be achieved either by natural or flat top sampling.
The output of the modulator is provided to the pulse reshaping circuit.
This basically shapes the pulses so that it can be easily detected at the
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PULSE AMPLITUDE MODULATION
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PULSE AMPLITUDE MODULATION
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DETECTION OF NATURAL PAM
PAM signal can be detected by passing it through a
LPF which is tuned to fm.
So all high frequency ripples are removed and the
original modulating signal is recovered back
PULSE AMPLITUDE MODULATION
FLAT TOP PAM
• A sample of hold circuit is used to
produce flat top sampled PAM. This
consists of two FET switches and a
capacitor.
• Flat top PAM signals are generated
by applying the input modulating
signal changing switch. Sampling
switch is closed for a short duration
by a short pulse applied to gate G1
of the transistor.
• During this period, the capacitor C
quickly charged up to a voltage
equal to the instantaneous sample
value of the incoming signal.
• Now, sampling switch is opened
and capacitor C holds the charge.
The discharge switch is then closed
by a pulse applied to gate G2, Due
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PULSE AMPLITUDE MODULATION
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PULSE AMPLITUDE MODULATION
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PULSE AMPLITUDE MODULATION
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PULSE AMPLITUDE MODULATION
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ADVANTAGES OF PAM
 Simple generation
 Simple detection
DISADVANTAGES OF PAM
 In PAM noise cannot be e removed easily.
 Transmission bandwidth required is too large.
 Transmission power is not constant.
PULSE CODE MODULATION PCM
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Definition
Pulse code modulation is essentially an analog
to digital conversion process , where the information
contained in the instantaneous sample of analog signal
are represented by digital codes and are transmitted as a
serial bit stream.
The PCM system includes the following basic elements
• Transmitter
• Transmission path
• Receiver
PULSE CODE MODULATION PCM
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PCM TRANSMITTER
The basic operations performed in the transmitter of
a PCM system are
 Sampling
 quantizing
 encoding
The quantizing and encoding operations
are usually performed in the same circuit which is
called analogue to digital converter.
PULSE CODE MODULATION PCM
LPF: The LPF are used to aliasing of the message signal by
adjusting the frequenciesgreater than fm so that a proper
sampling rate can be obtained at PCM transmitter.
Sampler:
A train of narrow rectangular pulse are used to sample the
message signal fs ≥ 2fm
Quantizer
The process of making the signal discrete in amplitude
by approximating the sampled signal to the nearest predefined or
representation level is called quantization.
It has two types
Uniform quantization, Non uniform quantization
Encoder
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PULSE CODE MODULATION PCM
PCM transmission path
 The PCM transmission path is referred as the path
between PCM transmitter and PCM receiver over which
the PCM signal travel.
 The ability of controlling the effects caused by
distortion and noise in the transmission of PCM wave is
the important feature of PCM system
 PCM achieves the capacity with the help of a chain of
regenerative repeaters
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PULSE CODE MODULATION PCM
PCM RECEIVER
 The noise removed pulses are applied to decoder.
 A sample and hold circuit in the decoder can be used to
convert the digitized word into to its analog value.
 Message signal is recovered by passing the decoder
output through a LPF whose cutoff frequency is equal to
the message bandwidth fm bandwidth of PCM= 1/2 Nfs,
N=No of samples
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TYPES OF PULSE MODULATION
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PULSE TIME MODULATION
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• Pulse Time Modulation (PTM) is a class of
analog signaling technique that encodes
the sample values of an analog signal onto
the time axis of a digital signal.
• The two main types of pulse
time modulation are:
1.Pulse Width Modulation (PWM)
2.Pulse Position Modulation (PPM)
PULSE WIDTH MODULATION (PWM)
 The pulse width modulation is the modulation of signals by
varying the width of pulses. The amplitude and positions of
the pulses are constant in this modulation
 It is also known as Pulse duration modulation (PDM).
 It is a type of Pulse Time Modulation (PTM)
technique where the timing of the carrier pulse is varied
according to the modulating signal.
 Due to constant amplitude property, it gets less affected by
noise. However, during transmission channel noise
introduces some variation in amplitude as it is additive in
nature. But that is totally easy removable at the receiver by
making use of limiter circuit.
 Since the width of the pulses contains information, the
noise factor does not cause much signal distortion. Hence
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GENERATION OF PWM
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GENERATION OF PWM
• The message signal and the carrier waveform is fed to a
modulator which generates PAM signal. This pulse
amplitude modulated signal is fed to the non-inverting
terminal of the comparator.
• A ramp signal generated by the sawtooth generator is fed
to the inverting terminal of the comparator.
• These two signals are added and compared with the
reference voltage of the comparator circuit. The level of the
comparator is so adjusted to have the intersection of the
reference with the slope of the waveform.
• The PWM pulse begins with the leading edge of the ramp
signal and the width of the pulse is determined by the
comparator circuit.
• The width of the PWM signal is proportional to the omitted
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GENERATION OF PWM
• There are three types of PWM.
– The leading edge of the pulse
being constant, the trailing edge
varies according to the message
signal. The waveform for this type
of PWM is denoted as (a) in the
above figure.
– The trailing edge of the pulse
being constant, the leading edge
varies according to the message
signal. The waveform for this type
of PWM is denoted as (b) in the
above figure.
– The center of the pulse being
constant, the leading edge and
the trailing edge varies
according to the message signal.
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WAVEFORM OF GENERATION OF PWM
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DETECTION OF PWM
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DETECTION OF PWM
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• As we know during signal transmission, some noise gets
added to the PWM signal. So firstly to remove the noise
introduced in the transmitted signal, the incoming signal is fed
to a pulse generator. This regenerates the PWM signal.
• This regenerated PWM pulse is then given to a reference
pulse generator that generates pulses of constant amplitude
along with constant width.
• The regenerated pulses are also given to the ramp signal
generator, that generates a ramp signal of constant slope,
whose duration is similar to the pulse duration. Thus we have
ramp signal height proportional to the PWM pulse width.
• The constant amplitude pulses are then provided to a
summation unit in order to get added with the ramp signal.
The added output is then fed to a clipper, this clips off the
signal up to its threshold value thereby generating a PAM
WAVEFORM OF DETECTION OF PWM
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ADVANATAGES AND DISADVANTAGES OF PWM
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ADVANTAGES OF PWM
 Less effect of noise , very good noise immunity
 Synchronisation between the transmitter and receiver is not
essential
 It is possible to reconstruct the PWM signal signal from a
noise or contaminated PWM.
DISADVANTAGES OF PWM
 Due to changing width of the pulses, variation in
transmission power is also noticed.
 Bandwidth requirement in case of PWM is somewhat larger
than PAM.
APPLICATIONS OF PULSE WIDTH MODULATION
 It is used in telecommunications, brightness controlling of
light or speed controlling of fans etc.
PULSE POSITION MODULATION (PPM)
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DEFINITION:
A modulation technique that allows variation in
the position of the pulses according to the amplitude of
the sampled modulating signal is known as Pulse Position
Modulation (PPM). It is another type of PTM, where the
amplitude and width of the pulses are kept constant and
only the position of the pulses is varied
• The information is transmitted with the varying position
of the pulses in pulse position modulation.
• The pulse displacement is directly proportional to the
sampled value of the message signal.
GENERATION OF PPM
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GENERATION OF PPM
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• A PAM signal is produced with is further processed at
the comparator in order to generate a PWM signal.
• The output of the comparator is fed to a monostable
multivibrator. It is negative edge triggered. Hence, with
the trailing edge of the PWM signal, the output of the
monostable goes high.
• This is why a pulse of PPM signal begins with the
trailing edge of the PWM signal.
• It is to be noted in case of PPM that the duration for
which the output will be high depends on the RC
components of the multivibrator. This is the reason
why a constant width pulse is obtained in case of the
PPM signal.
• With the modulating signal, the trailing edge of PWM
signal shifts, thus with that shift, the PPM pulses
GENERATION OF PPM
• Pulse Position Modulation (PPM) is an analog
modulation scheme in which, the amplitude and the
width of the pulses are kept constant, while the
position of each pulse, with reference to the
position of a reference pulse varies according to the
instantaneous sampled value of the message signal.
• The transmitter has to send synchronizing pulses (or
simply sync pulses) to keep the transmitter and the
receiver in sync. These sync pulses help to maintain
the position of the pulses. The following figures
explain the Pulse Position Modulation.
• Pulse position modulation is done in accordance with
the pulse width modulated signal. Each trailing edge
of the pulse width modulated signal becomes the
starting point for pulses in PPM signal. Hence, the
position of these pulses is proportional to the width
of the PWM pulses
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WAVEFORM OF PPM
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DETECTION OF PPM
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DETECTION OF PPM
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• The PPM signal transmitted from the modulation circuit
gets distorted by the noise during transmission. This
distorted PPM signal reaches the demodulator circuit.
The pulse generator employed in the circuit generates a
pulsed waveform. This waveform is of fixed duration
which is fed to the reset pin (R) of the SR flip-flop.
• The reference pulse generator generates, reference
pulse of a fixed period when transmitted PPM signal is
applied to it. This reference pulse is used to set the flip-
flop.
• These set and reset signals generate a PWM signal at
the output of the flip-flop. This PWM signal is then further
processed in order to provide the original message
ADVANATAGES AND DISADVANTAGES OF PPM
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ADVANTAGES OF PWM
• Similar to PWM, PPM also shows better noise immunity as
compared to PAM. This is so because information content is
present in the position of the pulses rather than amplitude.
• As the amplitude and width of the pulses remain constant. Thus
the transmission power also remains constant and does not
show variation.
• Recovering a PPM signal from distorted PPM is quite easy.
• Interference due to noise in more minimal than PAM and PWM.
DISADVANTAGES OF PULSE POSITION MODULATION
• In order to have proper detection of the signal at the receiver,
transmitter and receiver must be in synchronization.
• The bandwidth requirement is large.
APPLICATIONS OF PULSE POSITION MODULATION
• The technique is used in an optical communication system, in
radio control and in military applications.
ADVANTAGES AND DISADVANTAGES OF PPM
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PAM PWM PPM
Amplitude is varied Width is varied Position is varied
Bandwidth depends on the width
of the pulse
Bandwidth depends on the rise
time of the pulse
Bandwidth depends on the rise
time of the pulse
Instantaneous transmitter power
varies with the amplitude of the
pulses
Instantaneous transmitter power
varies with the amplitude and
the width of the pulses
Instantaneous transmitter power
remains constant with the width
of the pulses
System complexity is high System complexity is low System complexity is low
Noise interference is high Noise interference is low Noise interference is low
LINE CODING
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LINE CODES:
These codes are various formats (waveforms) for
representing the binary sequence. They are called as line
codes. It is also known as data transmission codes or
modulation codes.
DEFINITION
It is the process of converting binary data, a sequence of
bits to a digital data. The data, text, numbers, graphical
images, audio and video which are stored in computer
memory are in the form of sequences of bits. Line Coding
converts these sequences into signals
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LINE CODING
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At the sender side digital data are encoded into a
digital signal and at the receiver side the digital
data are recreated by decoding the digital signal.
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MAPPING DATA SYMBOLS ONTO SIGNAL LEVELS
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• A data symbol (or element) can consist of a number of
data bits:
• 1 , 0 or
• 11, 10, 01, …
…
• A data symbolcan be codedinto a singlesignal element
or multiple signal elements
• 1 -> +V, 0 -> -V
• 1 -> +V and -V, 0 -> -V and +V
• The ratio ‘r’ is the number of data elements carried by a
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RELATIONSHIP BETWEEN DATA RATE AND SIGNAL
RATE
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• The data rate defines the number of bits sent per sec-
bps. It is often referred to the bit rate.
• The signal rate is the number of signal elements sent
in a second and is measured in bauds. It is also
referred to as the baud rate.
• Goal is to increase the data rate whilst reducing the
baud rate.
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SIGNAL ELEMENT VERSUS DATA ELEMENT
r = number of data elements / number
of signal elements
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CONSIDERATIONS ABOUT LINE CODING
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• Transmission Bandwidth
The transmission bandwidth should be as small as possible.
• Power Efficiency
For a given bandwidth and specified error rate the
transmitted power should be as low as possible.
• Self synchronization
The clocks at the sender and the receiver must
have the same bit interval. If the receiver clock is faster
or slower it will misinterpret the incoming bit stream. It
may become the source of incorrigible errors.
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CONSIDERATIONS ABOUT LINE CODING
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Effect of lack of synchronization
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CONSIDERATIONS ABOUT LINE CODING
• Error detection
• errors occur during transmission due to line impairments.
• Some codes are constructed such that when an error occurs
it can be detected.
• For example: a particular signal transition is not part of the
code. When it occurs, the receiver will know that a symbol
error has occurred.
• Noise and interference
• there are line encoding techniques that make the transmitted
signal “immune” to noise and interference.
• This means that the signal cannot be corrupted, it is stronger
than error detection.
• Complexity
• the more robust and resilient the code, the more complex it
is to implement and the price is often paid in baud rate or
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CONSIDERATIONS ABOUT LINE CODING
• Baseline wandering:
• a receiver will evaluate the average power of the
received signal (called the baseline) and use that to
determine the value of the incoming data elements.
• If the incoming signal does not vary over a long period of
time, the baseline will drift and thus cause errors in
detection of incoming data elements.
• A good line encoding scheme will prevent long runs of
fixed amplitude.
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CONSIDERATIONS ABOUT LINE CODING
• DC components
• When the voltage level in a digital signal is constant for a
while, the spectrum creates very low frequencies (results
of Fourier analysis).
• These frequencies around zero, call DC (direct-current)
components, present problems for a system that cannot
pass low frequencies or a system that uses electrical
coupling (via a transformer).
• For example, a telephone line cannot pass frequencies
below 200 Hz.
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LINE CODING CLASSIFICATION
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UNIPOLAR – NRZ & RZ
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• In unipolar format, the waveform has a single
polarity.
• The waveform can have +5 or +12 volts when high.
• The waveform is simple On-Off.
UNIPOLAR RZ – Waveform and Expression
In the unipolar RZ form, the waveform has
zero value when symbol 1 is transmitted and
waveform has A volts when 1 is transmitted.
In the RZ form, the A volts is present for Tb / 2
period if symbol 1 is transmitted and for remaining
T / 2 , waveform returns value., for unipolar RZ 64
UNIPOLAR – NRZ & RZ
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UNIPOLAR – NRZ & RZ
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UNIPOLAR NRZ : WAVEFORM AND EXPRESSION
A unipolar NRZ (not return to zero) format, when
symbol 1 is transmitted the signal has A volts for full
duration. When symbol 0 is to be transmitted, the signal
has zero volts (no signal) for completed symbol duration
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POLAR – NRZ & RZ
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POLAR RZ: Waveform and expression
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POLAR – NRZ & RZ
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POLAR NRZ: Waveform and expression
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BIPOLAR NRZ (ALTERNATE MARK INVERSION)
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BIPOLAR NRZ:
In this format, the successive 1s are represented
by pulses with alternate polarity and zeros are
represented by no pulses
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DPCM – DIFFERENTIAL PULSE CODE MODULATION
• In PCM, each sample of the
waveform is encoded
independently of all the other
samples.
• The average change in
amplitude between
successive samples is
relatively small.
• Hence an encoding scheme
that exploits the redundancy
in the samples will result in a
lower bit rate for the source
output.
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DPCM – DIFFERENTIAL PULSE CODE
MODULATION
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• In DPCM we encode the differences between
successive samples rather than the samples.
• Since differences between samples are expected to
be smaller than the actual sampled amplitudes, fewer
bits are required to represent the differences.
• In this case we quantize and transmit the differenced
signal sequence
• The differential pulse code modulation works on the
principle of prediction. The value of the present
sample is predicted from the past samples.
• The prediction may not be exact but it is very close to
the actual sample value.
71
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 72
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING
• Need of Predictor:
• When the sampling rate is set at the nyquist rate, it generates
unacceptably excessive quantization noise in comparison to
PCM.(in some cases signal may change drastically, change may
be +ve or -ve)
• If we increase the sampling rate the quantization noise may
decrease but the bit rate of DPCM (bits per sample x sample
rate) may exceeds the bit rate of PCM.
• It is improved by recognizing that there is a co- relation between
successive samples of the signals.
• A natural refinement of this general approach is to predict the
current sample based on the previous M samples utilizing linear
prediction (LP), where LP parameters are dynamically estimated.
• Hence predictor is something which can predict the range of next
required increment to the past value in order to produce the
present value with some probability of being correct.
73
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 74
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 75
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 76
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 77
DPCM – DIFFERENTIAL PULSE CODE MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 78
ADAPTIVE DIFFERENTIAL PULSE CODE
MODULATION- ADPCM
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 79
ADAPTIVE DIFFERENTIAL PULSE CODE
MODULATION- ADPCM
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING
 ADPCM is a technique for converting sound or analog
information to binary information(a sting of 0s and 1s) by
taking frequent samples of the sound and expressing the
value of the sampled sound modulation in binary terms
 ADPCM is a variant of DPCM that varies the size of the
quantization step, to allow further reduction of the required
data bandwidth for a given signal to noise ratio
 Typically, the adaption to signal statistics in ADPCM consists
simply of an adaptive scale factor before quantizing the
difference in the DPCM encoder
 Adaptive DPCM further improves the efficiency of DPCM
encoding by incorporating an adaptive quantizer at the 80
ADAPTIVE DIFFERENTIAL PULSE CODE
MODULATION- ADPCM
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING
DESIGN OBJECTIVES
 Remove redundancies from speech signals
 Assign available bits to encode non-redundant parts of
speech signal in an efficient way
 Standard PCM is at 64 kb/s – can be reduced to 32, 16, 8 or
even 4 kb/s
 Price = proportionally increased complexity
 For same speech quality but Half the bit rate - Computational
complexity is an order of magnitude higher 81
ADAPTIVE DIFFERENTIAL PULSE CODE
MODULATION- ADPCM
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING
ADPCM PRINCIPLES
82
• Allows encoding of speech at 32 kb/s – requires 4 bits
per sample
• Uses adaptive quantization and adaptive prediction
– adaptive quantization – uses a time-varying step Δ[n].
The step-size is varied to match the input signal σM
2
• φ is a constant; σ– estimate of the standard deviation -
has to be computed continuously
ˆ
[ ] [ ]
M
n n

 
ˆ

ˆ

ˆ

ADAPTIVE DIFFERENTIAL PULSE CODE
MODULATION- ADPCM
– adaptive quantization with forward
estimation (AQF) – uses
unquantized samples of the input
signal to derive forward estimates
of σM[n]; requires a buffer to store
samples for a certain learning
period; incurs delay (~ 16 ms for
speech)
– adaptive quantization with
backward estimation (AQB) –
uses samples of the quantizer
output to derive backwards
estimates of σ [n]
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 83
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 84
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 85
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 86
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 87
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 88
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 89
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 90
WORKING OF TRANSMITTER
• The summer in the accumulator adds quantizer output(+ or -
Δ) with the previous sample approximation. This gives the
present sample approximation,
u(nTs) = u (nTs - Ts) + [ +/- Δ]
u(nTs) = u [(n-1)Ts)] + b(nTs)
• The previous sample approximation u[(n-1)Ts] is restored by
delaying one sample period Ts.
• The Sampled input signal x(nTs) and staircase approximated
signal x^(nTs) are subtracted to get error signal e(nTs)
• Thus depending on the sign of e(nTs), one bit quantizer
generates an output of +Δ or –Δ. If the step size is +Δ, then a
binary 1 is transmitted and if the step size is –Δ, then a binary
DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 91
WORKING OF RECEIVER
• The DM receiver uses a accumulator and a low pass filter.
The accumulator generates the staircase approximated signal
output and is delayed by one sampling period Ts.
• It is then added to the input signal. If input is binary 1 then it
adds + Δ step to the previous output which is delayed.
• If the input is binary 0 then one step Δ is subtracted from the
delayed signal.
• Also the low pass filter cuts off high frequency in x(t). This low
ADVANTAGES OF DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 92
ADVANTAGES
Delta Modulation has certain advantages over Pulse code
Modulation:
(i) Since Delta modulation transmits only one bit for one
sample, therefore the signalling rate and transmission
channel bandwidth is quite small for delta modulation
compared to PCM
(ii) The transmitter and receiver implementation is very much
simple for delta modulation.
(iii) There is no requirement of analog to digital converters in
delta modulation
DRAWBACKS OF DELTA MODULATION
DRAWBACKS OF DELTA MODULATION
SLOPE OVERLOAD
DISTORTION
 This distortion arises
because of large dynamic
range of the input signal
 As the fig shows, the rate of
rise of input signal is very high
that the staircase signal
cannot approximate it, the
step size Δ becomes too small
for staircase signal u(t) to
follow the step segment of x(t)
 Hence there is a large error
between the staircase
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 93
DRAWBACKS OF DELTA MODULATION
GRANULAR or IDEAL NOISE
 Granular or ideal noise
occurs when the step size is too
large compared to small
variations in the input signal.
 For very small variation in the
input signal, the staircase signal
is changed by large amount Δ
because of large step size.
 When the input signal is almost
flat the staircase signal u(t)
keeps on oscillating by +/- Δ
around the signal
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 94
ADAPTIVE DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 95
ADAPTIVE DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 96
ADAPTIVE DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 97
ADAPTIVE DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 98
ADAPTIVE DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 99
ADAPTIVE DELTA MODULATION
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 100
• The entire operation of receiver is divided into two parts. In
the first stage, for each incoming bit the step size is
produced.
• The step size is decided by both previous and present input
• Then it is applied to the accumulator whose function is to
generate staircase
waveform depending on the input applied to it
• Finally the original message signal is reconstructed from the
COMPARISON OF PCM, DPCM, DM, ADM
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 101
PARAMETER PCM DM ADM DPCM
No of bits or
Sample N can be
4,8,16,32…
N=1 N=1 N is more than
1
Step size Depends on Q-
level
Step size is
fixed
Step size is
variable
Step size is
fixed.
Errors Quantization
errors
Slope overload
& Granular
Errors.
Granular Errors Slope Overload
& Granular
Signal rate High Low Low Lower than
PCM
System
Complexity
Complex Simple Simple Simple
Noise
Immunity Very Good Very Good Very Good Very Good
CHANNEL VOCODERS
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 102
CHANNEL VOCODER
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 103
CHANNEL VOCODER
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 104
CHANNEL VOCODER
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 105
CHANNEL VOCODER
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 106
MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 107
• Multiplexing is the set of techniques that allows the
simultaneous transmission of multiple signals across a
single data link.
• A Multiplexer (MUX) is a device that combines
several signals into a single signal.
• A Demultiplexer (DEMUX) is a device that performs
the inverse operation
MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 108
MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 109
MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 110
FREQUENCY-DIVISION MULTIPLEXING
(FDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 111
FDM is an analog technique that can be applied when
the bandwidth of a link is greater than the combined
bandwidths of the signals to be transmitted.
In FDM signals generated by each device modulate
different carrier frequencies. These modulated signals
are combined into a single composite signal that can be
transported by the link.
FREQUENCY-DIVISION MULTIPLEXING
(FDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 112
• In FDM signals generated by each device modulate
different carrier frequencies. These modulated signals
are combined into a single composite signal that can
be transported by the link.
• Carrier frequencies are separated by enough
bandwidth to accommodate the modulated signal.
• These bandwidth ranges arte the channels through
which various signals travel.
• Channels must separated by strips of unused
bandwidth (guard bands) to prevent signal
overlapping.
FREQUENCY-DIVISION MULTIPLEXING
(FDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 113
FDM TRANSMITTER SECTION
• The numerous signals that are to be transmitted along a
common channel modulate different carriers in the
modulating section. The output of the modulator will
have multiple signals of different carrier frequency.
• The modulated signals are then fed to a linear mixer
which is different from a normal mixer.
• Linear mixer simply produces the algebraic sum of the
generated modulated signals. The combined signal at
the output of the mixer is then transmitted along a
single channel.
FREQUENCY-DIVISION MULTIPLEXING
(FDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 114
FDM RECEIVER SECTION
• The receiver section will have a composite signal that was
transmitted by the linear mixer over a channel.This
composite signal is then fed to different filters mainly BPF
each having a centre frequency corresponding to the carrier
frequency.
• The BPF passes the channel information without any
distortion. BPF rejects signals of all other frequencies and
accepts the signal of the desired centre frequency.
• Further, the signals after being processed by the BPF goes
to individual demodulator section where demodulation of
the signals takes place to separate modulating signal from
that of the carrier signal.
FREQUENCY-DIVISION MULTIPLEXING
(FDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 115
FREQUENCY-DIVISION MULTIPLEXING
(FDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 116
TIME DIVISION MULTIPLEXING (TDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 117
Digital Multiplexing
The term digital represents the discrete bits of
information. Hence, the available data is in the form of
frames or packets, which are discrete.
Time Division Multiplexing (TDM)
In TDM, the time frame is divided into slots. This
technique is used to transmit a signal over a single
communication channel, by allotting one slot for each
message.
Of all the types of TDM, the main ones are
Synchronous and Asynchronous TDM.
TIME DIVISION MULTIPLEXING (TDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 118
TIME DIVISION MULTIPLEXING (TDM)
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 119
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 120
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 121
• The technique efficiently utilizes the complete channel for data
transmission hence sometimes known as PAM/TDM. This is
so because a TDM system uses a pulse amplitude
modulation. In this modulation technique, each pulse holds
some short time duration allowing maximal channel usage.
• Here at the beginning, the system consists of multiple LPF
depending on the number of data inputs. These low pass
filters are basically anti-aliasing filters that eliminate the
aliasing of the data input signal.
• The output of the LPF is then fed to the commutator. As per
the rotation of the commutator the samples of the data inputs
are collected by it. Here, fs is the rate of rotation of the
commutator, thus denotes the sampling frequency of the
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 122
• Suppose we have n data inputs, then one after the other,
according to the rotation, these data inputs after getting
multiplexed transmitted over the common channel.
• Now, at the receiver end, a de-commutator is placed that is
synchronized with the commutator at the transmitting end. This de-
commutator separates the time division multiplexed signal at the
receiving end.
• The commutator and de-commutator must have same rotational
speed so as to have accurate demultiplexing of the signal at the
SYNCHRONOUS TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 123
• In synchronous time-division multiplexing, the term
synchronous means that the multiplexer allocates
exactly the same time slot to each device at all times,
whether or not a device has anything to transmit.
Frames
Time slots are grouped into frames. A frame
consists of a one complete cycle of time slots,
including one or more slots dedicated to each sending
device.
SYNCHRONOUS TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 124
SYNCHRONOUS TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 125
• Synchronous TDM: In this technique, the time slots
are assigned at the beginning, irrespective of the idea
about the presence of data at the source. This leads to
the wastage of the channel capacity. As in the
absence of any data unit, that particular time slot gets
entirely wasted.
ASYNCHRONOUS TIME-DIVISION
MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 126
• Asynchronous TDM: It is also termed as statistical or
intelligent TDM technique as it eliminates the drawback of
wastage of time slot present in synchronous TDM.
• Here, a particular frame is transmitted by the transmitting end
only when it gets completely filled by the data units. It exhibits
higher efficiency than that of synchronous TDM technique as it
requires smaller transmission time and ensures better
bandwidth utilization.
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 127
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 128
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 129
TIME-DIVISION MULTIPLEXING
2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 130

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Communication engineering notes uniit ii

  • 1. UNIT II – PULSE MODULATION Low pass sampling theorem Quantization Types of pulse modulation PAM PCM DPCM DM ADPCM ADM Time Division Multiplexing Frequency Division Multiplexing. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 1
  • 2. PULSE MODULATION  In Analog modulation both carrier and modulating signal are in analog.  In pulse modulation ,modulation signal is analog signal but carrier signal is discrete pulse signal. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 2
  • 3. SAMPLING THEOREM  This provides a mechanism for representing a continuous time signal by a discrete time signal, taking sufficient number of samples of signal so that original signal is represented in its samples completely. It can be stated as: (i) A band-limited signal of finite energy with no frequency component higher than fm Hz, is completely described by its sample values which are at uniform intervals less than or equal to 1/2fm seconds apart. [Ts=1 / 𝟐𝒇𝒎 ]where Ts is sampling time.  Sampling frequency must be equal to or higher than 2fm Hz. [fs ≥ 2fm]  A continuous time signal may be completely represented in samples and recovered back, if fs≥2fm, where fs is 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 3
  • 4. SAMPLING THEOREM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 4
  • 5. SAMPLING THEOREM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 5
  • 6. SAMPLING THEOREM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 6
  • 7. SAMPLING THEOREM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 7
  • 8. SAMPLING THEOREM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 8
  • 9. ALIASING EFFECT The overlapped region in case of under sampling represents Aliasing effect. It can be termed as “the phenomenon of a high-frequency component in the spectrum of a signal, taking on the identity of a lower-frequency component in the spectrum of its sampled version. This effect can be removed by considering (i) fs >2fm or (ii) by using anti aliasing filters which are low pass filters and eliminate high frequency components 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 9
  • 10. TYPES OF SAMPLING TECHNIQUES There are three types of Sampling Techniques  Impulse sampling (or) Ideal Sampling (or) Instantaneous Sampling  Natural sampling  Flat Top sampling (or) Rectangular Pulse Sampling IMPULSE SAMPLING: • Impulse Sampling is obtained by multiplying input signal x(t) with impulse train of period 'Ts. Also called ideal sampling. Practically not used because pulse width cannot be zero and the generation of impulse train not possible. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 10
  • 11. TYPES OF SAMPLING TECHNIQUES NATURAL SAMPLING  This type of sampling similar to ideal sampling except for the fact that instead of delta function, now we use rectangular train of period Ts. i.e. multiply input signal x(t) to pulse train  An electronic switch is used to periodically shift between the two contacts at a rate of fs = (1/Ts ) Hz, staying on the input contact for C seconds and on the grounded contact for the remainder of each sampling  The output xs(t) of the sampler consists of segments of x(t) and hence Xs(t) can be considered as the product of x(t) and 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 11
  • 12. TYPES OF SAMPLING TECHNIQUES Flat Top sampling: During transmission, noise is introduced at top of the transmission pulse which can be easily removed if the pulse is in the form of flat top. Here, the top of the samples are flat i.e. they have constant amplitude and is equal to the instantaneous value of the baseband signal x(t) at the start of sampling. Hence, it is called as flat top sampling or practical sampling. Flat top sampling makes use of sample and hold circuit Theoretically, the sampled signal can be obtained by convolution of rectangular pulse h(t) with ideally sampled signal ,sδ(t) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 12
  • 13. APERTURE EFFECT Spectrum of flat topped sample is given by G(f)=fs ∑〖𝑿(𝒇−𝒏𝒇𝒔)𝑯(𝒇)〗 , where H(f)= τ.sin c(fs.t)𝒆^(−𝒋𝝅𝒇𝝉) This equation shows that signal g(t) is obtained by passing the signal s(t) through a filter having transfer function H(f). Figure(a) shows one pulse of rectangular pulse train and each sample of x(t) i.e. s(t) is convolved with this pulse Figure (b) shows the spectrum of this pulse. Thus, flat top sampling introduces an amplitude distortion in reconstructed signal x(t) from g(t). There is a high frequency roll off making H(f) act like a LPF, thus attenuating the upper portion of message signal spectrum. This is known as aperture effect 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 13
  • 14. TYPES OF PULSE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 14
  • 15. NYQUIST RATE AND NYQUIST INTERVAL NYQUIST RATE When the sampling rate becomes exactly equal to 2fm samples/ sec, for a signal bandwidth fm, then it is called Nyquist Rate. fs = 2fm Samples/sec NYQUIST INTERVAL It is the time interval between any two adjacent samples when sampling rate is Nyquist rate. Ts= ½ fm, Ts-> Sampling time. QUANTIZATION The digitization of analog signals involves the rounding off of the values which are approximately equal to the analog values. The method of sampling chooses a few points on the analog signal and then these points are joined to round off the value to a near stabilized value. Such a process is called 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 15
  • 16. QUANTIZATION OF ANALOG SIGNAL The analog-to-digital converters perform this type of function to create a series of digital values out of the given analog signal. The figure represents an analog signal. This signal to get converted into digital, has to undergo sampling and quantizing. The quantizing of an analog signal is done by discretizing the signal with a number of quantization levels. Quantization is representing the sampled values of the amplitude by a finite set of levels, which means converting a continuous- amplitude sample into a discrete- 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 16
  • 17. QUANTIZATION OF ANALOG SIGNAL TYPES OF QUANTIZATION • There are two types of Quantization - Uniform Quantization and Non-uniform Quantization. • The type of quantization in which the quantization levels are uniformly spaced is termed as a Uniform Quantization. The type of quantization in which the quantization levels are unequal and mostly the relation between them is logarithmic, is termed as 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 17
  • 18. TYPES OF PULSE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 18
  • 19. PULSE AMPLITUDE MODULATION DEFINITION Pulse Amplitude Modulation (PAM) is an analog modulating scheme in which the amplitude of the pulse carrier varies proportional to the instantaneous amplitude of the message signal. GENERATION OF PAM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 19
  • 20. PULSE AMPLITUDE MODULATION GENERATION OF PAM Here the modulating signal is given to the low pass filter in order to band limit the message signal. The LPF at the beginning is placed in order to avoid aliasing of the samples. The LPF passes only the low-frequency component of the signal and eliminates the high-frequency signal component. The output of LPF is then provided to a modulator, where it gets mixed with the rectangular pulse train. Basically, the pulsed carrier gets modulated by the message signal here. The rectangular carrier pulse is generated by the pulse generator circuit. The modulator generates a pulse amplitude modulated signal. The sampled pulses can be achieved either by natural or flat top sampling. The output of the modulator is provided to the pulse reshaping circuit. This basically shapes the pulses so that it can be easily detected at the 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 20
  • 21. PULSE AMPLITUDE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 21
  • 22. PULSE AMPLITUDE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 22 DETECTION OF NATURAL PAM PAM signal can be detected by passing it through a LPF which is tuned to fm. So all high frequency ripples are removed and the original modulating signal is recovered back
  • 23. PULSE AMPLITUDE MODULATION FLAT TOP PAM • A sample of hold circuit is used to produce flat top sampled PAM. This consists of two FET switches and a capacitor. • Flat top PAM signals are generated by applying the input modulating signal changing switch. Sampling switch is closed for a short duration by a short pulse applied to gate G1 of the transistor. • During this period, the capacitor C quickly charged up to a voltage equal to the instantaneous sample value of the incoming signal. • Now, sampling switch is opened and capacitor C holds the charge. The discharge switch is then closed by a pulse applied to gate G2, Due 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 23
  • 24. PULSE AMPLITUDE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 24
  • 25. PULSE AMPLITUDE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 25
  • 26. PULSE AMPLITUDE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 26
  • 27. PULSE AMPLITUDE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 27 ADVANTAGES OF PAM  Simple generation  Simple detection DISADVANTAGES OF PAM  In PAM noise cannot be e removed easily.  Transmission bandwidth required is too large.  Transmission power is not constant.
  • 28. PULSE CODE MODULATION PCM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 28 Definition Pulse code modulation is essentially an analog to digital conversion process , where the information contained in the instantaneous sample of analog signal are represented by digital codes and are transmitted as a serial bit stream. The PCM system includes the following basic elements • Transmitter • Transmission path • Receiver
  • 29. PULSE CODE MODULATION PCM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 29 PCM TRANSMITTER The basic operations performed in the transmitter of a PCM system are  Sampling  quantizing  encoding The quantizing and encoding operations are usually performed in the same circuit which is called analogue to digital converter.
  • 30. PULSE CODE MODULATION PCM LPF: The LPF are used to aliasing of the message signal by adjusting the frequenciesgreater than fm so that a proper sampling rate can be obtained at PCM transmitter. Sampler: A train of narrow rectangular pulse are used to sample the message signal fs ≥ 2fm Quantizer The process of making the signal discrete in amplitude by approximating the sampled signal to the nearest predefined or representation level is called quantization. It has two types Uniform quantization, Non uniform quantization Encoder 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 30
  • 31. PULSE CODE MODULATION PCM PCM transmission path  The PCM transmission path is referred as the path between PCM transmitter and PCM receiver over which the PCM signal travel.  The ability of controlling the effects caused by distortion and noise in the transmission of PCM wave is the important feature of PCM system  PCM achieves the capacity with the help of a chain of regenerative repeaters 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 31
  • 32. PULSE CODE MODULATION PCM PCM RECEIVER  The noise removed pulses are applied to decoder.  A sample and hold circuit in the decoder can be used to convert the digitized word into to its analog value.  Message signal is recovered by passing the decoder output through a LPF whose cutoff frequency is equal to the message bandwidth fm bandwidth of PCM= 1/2 Nfs, N=No of samples 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 32
  • 33. TYPES OF PULSE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 33
  • 34. PULSE TIME MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 34 • Pulse Time Modulation (PTM) is a class of analog signaling technique that encodes the sample values of an analog signal onto the time axis of a digital signal. • The two main types of pulse time modulation are: 1.Pulse Width Modulation (PWM) 2.Pulse Position Modulation (PPM)
  • 35. PULSE WIDTH MODULATION (PWM)  The pulse width modulation is the modulation of signals by varying the width of pulses. The amplitude and positions of the pulses are constant in this modulation  It is also known as Pulse duration modulation (PDM).  It is a type of Pulse Time Modulation (PTM) technique where the timing of the carrier pulse is varied according to the modulating signal.  Due to constant amplitude property, it gets less affected by noise. However, during transmission channel noise introduces some variation in amplitude as it is additive in nature. But that is totally easy removable at the receiver by making use of limiter circuit.  Since the width of the pulses contains information, the noise factor does not cause much signal distortion. Hence 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 35
  • 36. GENERATION OF PWM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 36
  • 37. GENERATION OF PWM • The message signal and the carrier waveform is fed to a modulator which generates PAM signal. This pulse amplitude modulated signal is fed to the non-inverting terminal of the comparator. • A ramp signal generated by the sawtooth generator is fed to the inverting terminal of the comparator. • These two signals are added and compared with the reference voltage of the comparator circuit. The level of the comparator is so adjusted to have the intersection of the reference with the slope of the waveform. • The PWM pulse begins with the leading edge of the ramp signal and the width of the pulse is determined by the comparator circuit. • The width of the PWM signal is proportional to the omitted 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 37
  • 38. GENERATION OF PWM • There are three types of PWM. – The leading edge of the pulse being constant, the trailing edge varies according to the message signal. The waveform for this type of PWM is denoted as (a) in the above figure. – The trailing edge of the pulse being constant, the leading edge varies according to the message signal. The waveform for this type of PWM is denoted as (b) in the above figure. – The center of the pulse being constant, the leading edge and the trailing edge varies according to the message signal. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 38
  • 39. WAVEFORM OF GENERATION OF PWM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 39
  • 40. DETECTION OF PWM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 40
  • 41. DETECTION OF PWM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 41 • As we know during signal transmission, some noise gets added to the PWM signal. So firstly to remove the noise introduced in the transmitted signal, the incoming signal is fed to a pulse generator. This regenerates the PWM signal. • This regenerated PWM pulse is then given to a reference pulse generator that generates pulses of constant amplitude along with constant width. • The regenerated pulses are also given to the ramp signal generator, that generates a ramp signal of constant slope, whose duration is similar to the pulse duration. Thus we have ramp signal height proportional to the PWM pulse width. • The constant amplitude pulses are then provided to a summation unit in order to get added with the ramp signal. The added output is then fed to a clipper, this clips off the signal up to its threshold value thereby generating a PAM
  • 42. WAVEFORM OF DETECTION OF PWM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 42
  • 43. ADVANATAGES AND DISADVANTAGES OF PWM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 43 ADVANTAGES OF PWM  Less effect of noise , very good noise immunity  Synchronisation between the transmitter and receiver is not essential  It is possible to reconstruct the PWM signal signal from a noise or contaminated PWM. DISADVANTAGES OF PWM  Due to changing width of the pulses, variation in transmission power is also noticed.  Bandwidth requirement in case of PWM is somewhat larger than PAM. APPLICATIONS OF PULSE WIDTH MODULATION  It is used in telecommunications, brightness controlling of light or speed controlling of fans etc.
  • 44. PULSE POSITION MODULATION (PPM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 44 DEFINITION: A modulation technique that allows variation in the position of the pulses according to the amplitude of the sampled modulating signal is known as Pulse Position Modulation (PPM). It is another type of PTM, where the amplitude and width of the pulses are kept constant and only the position of the pulses is varied • The information is transmitted with the varying position of the pulses in pulse position modulation. • The pulse displacement is directly proportional to the sampled value of the message signal.
  • 45. GENERATION OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 45
  • 46. GENERATION OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 46 • A PAM signal is produced with is further processed at the comparator in order to generate a PWM signal. • The output of the comparator is fed to a monostable multivibrator. It is negative edge triggered. Hence, with the trailing edge of the PWM signal, the output of the monostable goes high. • This is why a pulse of PPM signal begins with the trailing edge of the PWM signal. • It is to be noted in case of PPM that the duration for which the output will be high depends on the RC components of the multivibrator. This is the reason why a constant width pulse is obtained in case of the PPM signal. • With the modulating signal, the trailing edge of PWM signal shifts, thus with that shift, the PPM pulses
  • 47. GENERATION OF PPM • Pulse Position Modulation (PPM) is an analog modulation scheme in which, the amplitude and the width of the pulses are kept constant, while the position of each pulse, with reference to the position of a reference pulse varies according to the instantaneous sampled value of the message signal. • The transmitter has to send synchronizing pulses (or simply sync pulses) to keep the transmitter and the receiver in sync. These sync pulses help to maintain the position of the pulses. The following figures explain the Pulse Position Modulation. • Pulse position modulation is done in accordance with the pulse width modulated signal. Each trailing edge of the pulse width modulated signal becomes the starting point for pulses in PPM signal. Hence, the position of these pulses is proportional to the width of the PWM pulses 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 47
  • 48. WAVEFORM OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 48
  • 49. DETECTION OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 49
  • 50. DETECTION OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 50 • The PPM signal transmitted from the modulation circuit gets distorted by the noise during transmission. This distorted PPM signal reaches the demodulator circuit. The pulse generator employed in the circuit generates a pulsed waveform. This waveform is of fixed duration which is fed to the reset pin (R) of the SR flip-flop. • The reference pulse generator generates, reference pulse of a fixed period when transmitted PPM signal is applied to it. This reference pulse is used to set the flip- flop. • These set and reset signals generate a PWM signal at the output of the flip-flop. This PWM signal is then further processed in order to provide the original message
  • 51. ADVANATAGES AND DISADVANTAGES OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 51 ADVANTAGES OF PWM • Similar to PWM, PPM also shows better noise immunity as compared to PAM. This is so because information content is present in the position of the pulses rather than amplitude. • As the amplitude and width of the pulses remain constant. Thus the transmission power also remains constant and does not show variation. • Recovering a PPM signal from distorted PPM is quite easy. • Interference due to noise in more minimal than PAM and PWM. DISADVANTAGES OF PULSE POSITION MODULATION • In order to have proper detection of the signal at the receiver, transmitter and receiver must be in synchronization. • The bandwidth requirement is large. APPLICATIONS OF PULSE POSITION MODULATION • The technique is used in an optical communication system, in radio control and in military applications.
  • 52. ADVANTAGES AND DISADVANTAGES OF PPM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 52 PAM PWM PPM Amplitude is varied Width is varied Position is varied Bandwidth depends on the width of the pulse Bandwidth depends on the rise time of the pulse Bandwidth depends on the rise time of the pulse Instantaneous transmitter power varies with the amplitude of the pulses Instantaneous transmitter power varies with the amplitude and the width of the pulses Instantaneous transmitter power remains constant with the width of the pulses System complexity is high System complexity is low System complexity is low Noise interference is high Noise interference is low Noise interference is low
  • 53. LINE CODING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING LINE CODES: These codes are various formats (waveforms) for representing the binary sequence. They are called as line codes. It is also known as data transmission codes or modulation codes. DEFINITION It is the process of converting binary data, a sequence of bits to a digital data. The data, text, numbers, graphical images, audio and video which are stored in computer memory are in the form of sequences of bits. Line Coding converts these sequences into signals 53
  • 54. LINE CODING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING At the sender side digital data are encoded into a digital signal and at the receiver side the digital data are recreated by decoding the digital signal. 54
  • 55. MAPPING DATA SYMBOLS ONTO SIGNAL LEVELS 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING • A data symbol (or element) can consist of a number of data bits: • 1 , 0 or • 11, 10, 01, … … • A data symbolcan be codedinto a singlesignal element or multiple signal elements • 1 -> +V, 0 -> -V • 1 -> +V and -V, 0 -> -V and +V • The ratio ‘r’ is the number of data elements carried by a 55
  • 56. RELATIONSHIP BETWEEN DATA RATE AND SIGNAL RATE 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING • The data rate defines the number of bits sent per sec- bps. It is often referred to the bit rate. • The signal rate is the number of signal elements sent in a second and is measured in bauds. It is also referred to as the baud rate. • Goal is to increase the data rate whilst reducing the baud rate. 56
  • 57. SIGNAL ELEMENT VERSUS DATA ELEMENT r = number of data elements / number of signal elements 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 57
  • 58. CONSIDERATIONS ABOUT LINE CODING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING • Transmission Bandwidth The transmission bandwidth should be as small as possible. • Power Efficiency For a given bandwidth and specified error rate the transmitted power should be as low as possible. • Self synchronization The clocks at the sender and the receiver must have the same bit interval. If the receiver clock is faster or slower it will misinterpret the incoming bit stream. It may become the source of incorrigible errors. 58
  • 59. CONSIDERATIONS ABOUT LINE CODING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING Effect of lack of synchronization 59
  • 60. CONSIDERATIONS ABOUT LINE CODING • Error detection • errors occur during transmission due to line impairments. • Some codes are constructed such that when an error occurs it can be detected. • For example: a particular signal transition is not part of the code. When it occurs, the receiver will know that a symbol error has occurred. • Noise and interference • there are line encoding techniques that make the transmitted signal “immune” to noise and interference. • This means that the signal cannot be corrupted, it is stronger than error detection. • Complexity • the more robust and resilient the code, the more complex it is to implement and the price is often paid in baud rate or 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 60
  • 61. CONSIDERATIONS ABOUT LINE CODING • Baseline wandering: • a receiver will evaluate the average power of the received signal (called the baseline) and use that to determine the value of the incoming data elements. • If the incoming signal does not vary over a long period of time, the baseline will drift and thus cause errors in detection of incoming data elements. • A good line encoding scheme will prevent long runs of fixed amplitude. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 61
  • 62. CONSIDERATIONS ABOUT LINE CODING • DC components • When the voltage level in a digital signal is constant for a while, the spectrum creates very low frequencies (results of Fourier analysis). • These frequencies around zero, call DC (direct-current) components, present problems for a system that cannot pass low frequencies or a system that uses electrical coupling (via a transformer). • For example, a telephone line cannot pass frequencies below 200 Hz. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 62
  • 63. LINE CODING CLASSIFICATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 63
  • 64. UNIPOLAR – NRZ & RZ 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING • In unipolar format, the waveform has a single polarity. • The waveform can have +5 or +12 volts when high. • The waveform is simple On-Off. UNIPOLAR RZ – Waveform and Expression In the unipolar RZ form, the waveform has zero value when symbol 1 is transmitted and waveform has A volts when 1 is transmitted. In the RZ form, the A volts is present for Tb / 2 period if symbol 1 is transmitted and for remaining T / 2 , waveform returns value., for unipolar RZ 64
  • 65. UNIPOLAR – NRZ & RZ 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 65
  • 66. UNIPOLAR – NRZ & RZ 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING UNIPOLAR NRZ : WAVEFORM AND EXPRESSION A unipolar NRZ (not return to zero) format, when symbol 1 is transmitted the signal has A volts for full duration. When symbol 0 is to be transmitted, the signal has zero volts (no signal) for completed symbol duration 66
  • 67. POLAR – NRZ & RZ 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING POLAR RZ: Waveform and expression 67
  • 68. POLAR – NRZ & RZ 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING POLAR NRZ: Waveform and expression 68
  • 69. BIPOLAR NRZ (ALTERNATE MARK INVERSION) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING BIPOLAR NRZ: In this format, the successive 1s are represented by pulses with alternate polarity and zeros are represented by no pulses 69
  • 70. DPCM – DIFFERENTIAL PULSE CODE MODULATION • In PCM, each sample of the waveform is encoded independently of all the other samples. • The average change in amplitude between successive samples is relatively small. • Hence an encoding scheme that exploits the redundancy in the samples will result in a lower bit rate for the source output. 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 70
  • 71. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING • In DPCM we encode the differences between successive samples rather than the samples. • Since differences between samples are expected to be smaller than the actual sampled amplitudes, fewer bits are required to represent the differences. • In this case we quantize and transmit the differenced signal sequence • The differential pulse code modulation works on the principle of prediction. The value of the present sample is predicted from the past samples. • The prediction may not be exact but it is very close to the actual sample value. 71
  • 72. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 72
  • 73. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING • Need of Predictor: • When the sampling rate is set at the nyquist rate, it generates unacceptably excessive quantization noise in comparison to PCM.(in some cases signal may change drastically, change may be +ve or -ve) • If we increase the sampling rate the quantization noise may decrease but the bit rate of DPCM (bits per sample x sample rate) may exceeds the bit rate of PCM. • It is improved by recognizing that there is a co- relation between successive samples of the signals. • A natural refinement of this general approach is to predict the current sample based on the previous M samples utilizing linear prediction (LP), where LP parameters are dynamically estimated. • Hence predictor is something which can predict the range of next required increment to the past value in order to produce the present value with some probability of being correct. 73
  • 74. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 74
  • 75. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 75
  • 76. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 76
  • 77. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 77
  • 78. DPCM – DIFFERENTIAL PULSE CODE MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 78
  • 79. ADAPTIVE DIFFERENTIAL PULSE CODE MODULATION- ADPCM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 79
  • 80. ADAPTIVE DIFFERENTIAL PULSE CODE MODULATION- ADPCM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING  ADPCM is a technique for converting sound or analog information to binary information(a sting of 0s and 1s) by taking frequent samples of the sound and expressing the value of the sampled sound modulation in binary terms  ADPCM is a variant of DPCM that varies the size of the quantization step, to allow further reduction of the required data bandwidth for a given signal to noise ratio  Typically, the adaption to signal statistics in ADPCM consists simply of an adaptive scale factor before quantizing the difference in the DPCM encoder  Adaptive DPCM further improves the efficiency of DPCM encoding by incorporating an adaptive quantizer at the 80
  • 81. ADAPTIVE DIFFERENTIAL PULSE CODE MODULATION- ADPCM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING DESIGN OBJECTIVES  Remove redundancies from speech signals  Assign available bits to encode non-redundant parts of speech signal in an efficient way  Standard PCM is at 64 kb/s – can be reduced to 32, 16, 8 or even 4 kb/s  Price = proportionally increased complexity  For same speech quality but Half the bit rate - Computational complexity is an order of magnitude higher 81
  • 82. ADAPTIVE DIFFERENTIAL PULSE CODE MODULATION- ADPCM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING ADPCM PRINCIPLES 82 • Allows encoding of speech at 32 kb/s – requires 4 bits per sample • Uses adaptive quantization and adaptive prediction – adaptive quantization – uses a time-varying step Δ[n]. The step-size is varied to match the input signal σM 2 • φ is a constant; σ– estimate of the standard deviation - has to be computed continuously ˆ [ ] [ ] M n n    ˆ  ˆ  ˆ 
  • 83. ADAPTIVE DIFFERENTIAL PULSE CODE MODULATION- ADPCM – adaptive quantization with forward estimation (AQF) – uses unquantized samples of the input signal to derive forward estimates of σM[n]; requires a buffer to store samples for a certain learning period; incurs delay (~ 16 ms for speech) – adaptive quantization with backward estimation (AQB) – uses samples of the quantizer output to derive backwards estimates of σ [n] 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 83
  • 84. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 84
  • 85. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 85
  • 86. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 86
  • 87. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 87
  • 88. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 88
  • 89. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 89
  • 90. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 90 WORKING OF TRANSMITTER • The summer in the accumulator adds quantizer output(+ or - Δ) with the previous sample approximation. This gives the present sample approximation, u(nTs) = u (nTs - Ts) + [ +/- Δ] u(nTs) = u [(n-1)Ts)] + b(nTs) • The previous sample approximation u[(n-1)Ts] is restored by delaying one sample period Ts. • The Sampled input signal x(nTs) and staircase approximated signal x^(nTs) are subtracted to get error signal e(nTs) • Thus depending on the sign of e(nTs), one bit quantizer generates an output of +Δ or –Δ. If the step size is +Δ, then a binary 1 is transmitted and if the step size is –Δ, then a binary
  • 91. DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 91 WORKING OF RECEIVER • The DM receiver uses a accumulator and a low pass filter. The accumulator generates the staircase approximated signal output and is delayed by one sampling period Ts. • It is then added to the input signal. If input is binary 1 then it adds + Δ step to the previous output which is delayed. • If the input is binary 0 then one step Δ is subtracted from the delayed signal. • Also the low pass filter cuts off high frequency in x(t). This low
  • 92. ADVANTAGES OF DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 92 ADVANTAGES Delta Modulation has certain advantages over Pulse code Modulation: (i) Since Delta modulation transmits only one bit for one sample, therefore the signalling rate and transmission channel bandwidth is quite small for delta modulation compared to PCM (ii) The transmitter and receiver implementation is very much simple for delta modulation. (iii) There is no requirement of analog to digital converters in delta modulation DRAWBACKS OF DELTA MODULATION
  • 93. DRAWBACKS OF DELTA MODULATION SLOPE OVERLOAD DISTORTION  This distortion arises because of large dynamic range of the input signal  As the fig shows, the rate of rise of input signal is very high that the staircase signal cannot approximate it, the step size Δ becomes too small for staircase signal u(t) to follow the step segment of x(t)  Hence there is a large error between the staircase 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 93
  • 94. DRAWBACKS OF DELTA MODULATION GRANULAR or IDEAL NOISE  Granular or ideal noise occurs when the step size is too large compared to small variations in the input signal.  For very small variation in the input signal, the staircase signal is changed by large amount Δ because of large step size.  When the input signal is almost flat the staircase signal u(t) keeps on oscillating by +/- Δ around the signal 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 94
  • 95. ADAPTIVE DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 95
  • 96. ADAPTIVE DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 96
  • 97. ADAPTIVE DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 97
  • 98. ADAPTIVE DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 98
  • 99. ADAPTIVE DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 99
  • 100. ADAPTIVE DELTA MODULATION 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 100 • The entire operation of receiver is divided into two parts. In the first stage, for each incoming bit the step size is produced. • The step size is decided by both previous and present input • Then it is applied to the accumulator whose function is to generate staircase waveform depending on the input applied to it • Finally the original message signal is reconstructed from the
  • 101. COMPARISON OF PCM, DPCM, DM, ADM 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 101 PARAMETER PCM DM ADM DPCM No of bits or Sample N can be 4,8,16,32… N=1 N=1 N is more than 1 Step size Depends on Q- level Step size is fixed Step size is variable Step size is fixed. Errors Quantization errors Slope overload & Granular Errors. Granular Errors Slope Overload & Granular Signal rate High Low Low Lower than PCM System Complexity Complex Simple Simple Simple Noise Immunity Very Good Very Good Very Good Very Good
  • 102. CHANNEL VOCODERS 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 102
  • 103. CHANNEL VOCODER 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 103
  • 104. CHANNEL VOCODER 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 104
  • 105. CHANNEL VOCODER 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 105
  • 106. CHANNEL VOCODER 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 106
  • 107. MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 107 • Multiplexing is the set of techniques that allows the simultaneous transmission of multiple signals across a single data link. • A Multiplexer (MUX) is a device that combines several signals into a single signal. • A Demultiplexer (DEMUX) is a device that performs the inverse operation
  • 111. FREQUENCY-DIVISION MULTIPLEXING (FDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 111 FDM is an analog technique that can be applied when the bandwidth of a link is greater than the combined bandwidths of the signals to be transmitted. In FDM signals generated by each device modulate different carrier frequencies. These modulated signals are combined into a single composite signal that can be transported by the link.
  • 112. FREQUENCY-DIVISION MULTIPLEXING (FDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 112 • In FDM signals generated by each device modulate different carrier frequencies. These modulated signals are combined into a single composite signal that can be transported by the link. • Carrier frequencies are separated by enough bandwidth to accommodate the modulated signal. • These bandwidth ranges arte the channels through which various signals travel. • Channels must separated by strips of unused bandwidth (guard bands) to prevent signal overlapping.
  • 113. FREQUENCY-DIVISION MULTIPLEXING (FDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 113 FDM TRANSMITTER SECTION • The numerous signals that are to be transmitted along a common channel modulate different carriers in the modulating section. The output of the modulator will have multiple signals of different carrier frequency. • The modulated signals are then fed to a linear mixer which is different from a normal mixer. • Linear mixer simply produces the algebraic sum of the generated modulated signals. The combined signal at the output of the mixer is then transmitted along a single channel.
  • 114. FREQUENCY-DIVISION MULTIPLEXING (FDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 114 FDM RECEIVER SECTION • The receiver section will have a composite signal that was transmitted by the linear mixer over a channel.This composite signal is then fed to different filters mainly BPF each having a centre frequency corresponding to the carrier frequency. • The BPF passes the channel information without any distortion. BPF rejects signals of all other frequencies and accepts the signal of the desired centre frequency. • Further, the signals after being processed by the BPF goes to individual demodulator section where demodulation of the signals takes place to separate modulating signal from that of the carrier signal.
  • 117. TIME DIVISION MULTIPLEXING (TDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 117 Digital Multiplexing The term digital represents the discrete bits of information. Hence, the available data is in the form of frames or packets, which are discrete. Time Division Multiplexing (TDM) In TDM, the time frame is divided into slots. This technique is used to transmit a signal over a single communication channel, by allotting one slot for each message. Of all the types of TDM, the main ones are Synchronous and Asynchronous TDM.
  • 118. TIME DIVISION MULTIPLEXING (TDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 118
  • 119. TIME DIVISION MULTIPLEXING (TDM) 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 119
  • 120. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 120
  • 121. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 121 • The technique efficiently utilizes the complete channel for data transmission hence sometimes known as PAM/TDM. This is so because a TDM system uses a pulse amplitude modulation. In this modulation technique, each pulse holds some short time duration allowing maximal channel usage. • Here at the beginning, the system consists of multiple LPF depending on the number of data inputs. These low pass filters are basically anti-aliasing filters that eliminate the aliasing of the data input signal. • The output of the LPF is then fed to the commutator. As per the rotation of the commutator the samples of the data inputs are collected by it. Here, fs is the rate of rotation of the commutator, thus denotes the sampling frequency of the
  • 122. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 122 • Suppose we have n data inputs, then one after the other, according to the rotation, these data inputs after getting multiplexed transmitted over the common channel. • Now, at the receiver end, a de-commutator is placed that is synchronized with the commutator at the transmitting end. This de- commutator separates the time division multiplexed signal at the receiving end. • The commutator and de-commutator must have same rotational speed so as to have accurate demultiplexing of the signal at the
  • 123. SYNCHRONOUS TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 123 • In synchronous time-division multiplexing, the term synchronous means that the multiplexer allocates exactly the same time slot to each device at all times, whether or not a device has anything to transmit. Frames Time slots are grouped into frames. A frame consists of a one complete cycle of time slots, including one or more slots dedicated to each sending device.
  • 124. SYNCHRONOUS TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 124
  • 125. SYNCHRONOUS TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 125 • Synchronous TDM: In this technique, the time slots are assigned at the beginning, irrespective of the idea about the presence of data at the source. This leads to the wastage of the channel capacity. As in the absence of any data unit, that particular time slot gets entirely wasted.
  • 126. ASYNCHRONOUS TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 126 • Asynchronous TDM: It is also termed as statistical or intelligent TDM technique as it eliminates the drawback of wastage of time slot present in synchronous TDM. • Here, a particular frame is transmitted by the transmitting end only when it gets completely filled by the data units. It exhibits higher efficiency than that of synchronous TDM technique as it requires smaller transmission time and ensures better bandwidth utilization.
  • 127. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 127
  • 128. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 128
  • 129. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 129
  • 130. TIME-DIVISION MULTIPLEXING 2/19/2024 MAHENDRA COLLEGE OF ENGINEERING 130