This document discusses the process of formatting analog signals for digital communication systems. It involves:
1. Sampling the analog signal
2. Quantizing the sampled values into a finite set of levels
3. Encoding the quantized samples into a digital code using pulse code modulation (PCM)
The quantization process introduces quantization error. Various techniques like uniform, non-uniform, and companding quantization are discussed to reduce this error. The encoded digital signal is then transmitted after modulating it onto pulse waveforms.
The presentation gives basic insight into Information Theory, Entropies, various binary channels, and error conditions. It explains principles, derivations and problems in very easy and detailed manner with examples.
Comparative Study and Performance Analysis of different Modulation Techniques...Souvik Das
A comparative study and performance analysis of different modulation
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The presentation gives basic insight into Information Theory, Entropies, various binary channels, and error conditions. It explains principles, derivations and problems in very easy and detailed manner with examples.
Comparative Study and Performance Analysis of different Modulation Techniques...Souvik Das
A comparative study and performance analysis of different modulation
techniques which shows graphically and comparative results Channel Noise
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Digital Signal Processing[ECEG-3171]-Ch1_L06Rediet Moges
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
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Digital Signal Processing[ECEG-3171]-Ch1_L06Rediet Moges
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
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Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
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Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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2. Formatting and transmission of baseband signal
Lecture 22
Encode
Transmit
Pulse
modulateSample Quantize
Demodulate/
Detect
Channel
Receive
Low-pass
filter
Decode
Pulse
waveformsBit stream
Format
Format
Digital info.
Textual
info.
Analog
info.
Textual
info.
Analog
info.
Digital info.
source
sink
3. Format analog signals
Lecture 23
To transform an analog waveform into a form
that is compatible with a digital communication
system, the following steps are taken:
1. Sampling
2. Quantization and encoding
3. Baseband transmission
4. Sampling
Lecture 24
Time domain Frequency domain
)()()( txtxtxs )()()( fXfXfXs
|)(| fX
)(tx
|)(| fX
|)(| fXs
)(txs
)(tx
6. Sampling theorem
Lecture 26
Sampling theorem: A band limited signal
with no spectral components beyond , can be
uniquely determined by values sampled at uniform
intervals of
The sampling rate, is
called Nyquist rate.
Sampling
process
Analog
signal
Pulse amplitude
modulated (PAM) signal
7. Quantization
Lecture 27
Amplitude quantizing: Mapping samples of a continuous
amplitude waveform to a finite set of amplitudes.
In
Out
Quantized
values
Average quantization noise power
Signal peak power
Signal power to average
quantization noise power
8. Encoding (PCM)
Lecture 28
A uniform linear quantizer is called Pulse Code
Modulation (PCM).
Pulse code modulation (PCM): Encoding the quantized
signals into a digital word (PCM word or codeword).
Each quantized sample is digitally encoded into an l bits codeword
where L in the number of quantization levels and
10. Quantization error
Lecture 210
Quantizing error: The difference between the input and
output of a quantizer
)()(ˆ)( txtxte
+
)(tx )(ˆ tx
)()(ˆ
)(
txtx
te
AGC
x
)(xqy
Qauntizer
Process of quantizing noise
)(tx )(ˆ tx
)(te
Model of quantizing noise
11. Quantization error …
Lecture 211
Quantizing error:
Granular or linear errors happen for inputs within the dynamic
range of quantizer
Saturation errors happen for inputs outside the dynamic range
of quantizer
Saturation errors are larger than linear errors
Saturation errors can be avoided by proper tuning of AGC
12. Uniform and non-uniform quant.
Lecture 212
Uniform (linear) quantizing:
No assumption about amplitude statistics of the input.
Not using the user-related specifications
Robust to small changes in input statistic by not finely tuned to a
specific set of input parameters
Simple implementation
Application of linear quantizer:
Signal processing, graphic and display applications, process control
applications
Non-uniform quantizing:
Using the input statistics to tune quantizer parameters
Larger SNR than uniform quantizing with same number of levels
Non-uniform intervals in the dynamic range with same quantization
noise variance
Application of non-uniform quantizer:
Commonly used for speech
13. Non-uniform quantization
Lecture 213
It is achieved by uniformly quantizing the “compressed” signal.
At the receiver, an inverse compression characteristic, called
“expansion” is employed to avoid signal distortion.
compression+expansion companding
)(ty)(tx )(ˆ ty )(ˆ tx
x
)(xCy xˆ
yˆ
Compress Quantize
Channel
Expand
Transmitter Receiver
14. Statistics of speech amplitudes
Lecture 214
In speech, weak signals are more frequent than strong ones.
Using equal step sizes (uniform quantizer) gives low for weak
signals and high for strong signals.
Adjusting the step size of the quantizer by taking into account the speech statistics
improves the SNR for the input range.
0.0
1.0
0.5
1.0 2.0 3.0
Normalized magnitude of speech signal
Probabilitydensityfunction
qN
S
qN
S
15. Baseband transmission
Lecture 215
To transmit information through physical channels,
PCM sequences (code words) are transformed to
pulses (waveforms).
Each waveform carries a symbol from a set of size M.
Each transmit symbol represents bits of
the PCM words.
PCM waveforms (line codes) are used for binary
symbols (M=2).
M-ary pulse modulation are used for non-binary
symbols (M>2).
Mk 2log