different types of internal and external noises, s/n ratio, s/n ratio of a tandem connection, noise factor, amplifier input noise, noise factor of amplifiers in cascade (friss's formula).
Using Chebyshev filter design, there are two sub groups,
Type-I Chebyshev Filter
Type-II Chebyshev Filter
The major difference between butterworth and chebyshev filter is that the poles of butterworth filter lie on the circle while the poles of chebyshev filter lie on ellipse.
different types of internal and external noises, s/n ratio, s/n ratio of a tandem connection, noise factor, amplifier input noise, noise factor of amplifiers in cascade (friss's formula).
Using Chebyshev filter design, there are two sub groups,
Type-I Chebyshev Filter
Type-II Chebyshev Filter
The major difference between butterworth and chebyshev filter is that the poles of butterworth filter lie on the circle while the poles of chebyshev filter lie on ellipse.
Objective of Pulse Code Modulation
Block Diagram of PCM
Process of PCM
Sampling
Quantization
Encoding
PCM Standards
Bit Rate and Bandwidth in PCM
Advantages and Disadvantages of PCM
Applications of PCM
Mathematical Explanation of channel capacityHere we can see that the channel capacity is measured with the multiplication of pulses per second and information. This is how we can measure the channel capacity.
This presentation is about electromagnetic fields, history of this theory and personalities contributing to this theory. Applications of electromagnetism. Vector Analysis and coordinate systems.
Objective of Pulse Code Modulation
Block Diagram of PCM
Process of PCM
Sampling
Quantization
Encoding
PCM Standards
Bit Rate and Bandwidth in PCM
Advantages and Disadvantages of PCM
Applications of PCM
Mathematical Explanation of channel capacityHere we can see that the channel capacity is measured with the multiplication of pulses per second and information. This is how we can measure the channel capacity.
This presentation is about electromagnetic fields, history of this theory and personalities contributing to this theory. Applications of electromagnetism. Vector Analysis and coordinate systems.
The signal is the meaningful information that you’re actually trying to detect. The noise is the random, unwanted variation or fluctuation that interferes with the signal. To get a sense of this, imagine trying to tune into a radio station. Ok, you don’t use radio anymore, so imagine your dad can’t call you to get help setting up his Spotify, so is trying to tune into a radio station. He turns the dial but it’s just picking up white noise and, after a few frustrating minutes, he manages to pick up a signal and tune into a station.
The same is true in statistics — there is something you’re trying to actually measure (say, how many Americans want to leave for Canada), but the data could be noisy (by including everyone who just makes a trip over the border to buy affordable medication). Noisy data are data from which it is hard to determine the true effect.Examples of signal vs noise
If I speak German, for most people, there will be no signal, just noise, although Claus can detect the actual signal.
How accurate are the polls in predicting the election? If the data are noisy (for example, because it’s a small sample size, has low external validity, or small effect size), the poll numbers won’t correlate well with a change in the chance of a different President.
Does money make you happier? The signal (correlation between income and happiness) would be noisy because of confounders — you’d expect people who earn more to be happier because they are in positions of higher social status, they have better working conditions, being happier could cause people to be rich etc. Turns out there is some signal amongst the noise though.
This presentation covers types of noise in communication system, noise modelling, thermal noise, shot noise, experimental determination of noise figure, noise figure, friss formula with numerical.
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Current generated by photodetector is very weak and is adversely effected by random noises associated with photo detection process. When amplified, this signal further gets corrupted by amplifiers. Noise considerations are thus important in designing optical receivers.
Most meaningful criteria for measuring performance of a digital communication system is average error probability, and in analog system, it is peak signal to rms noise ratio. ...
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Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
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3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
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2. Noise in electrical terms may be defined as any unwanted
introduction of energy tending to interfere with the proper
reception and reproduction of transmitted signals.
Noise is mainly of concern in receiving system, where it sets a
lower limit on the size of signal that can be usefully received. Even
when precautions are taken to eliminate noise from faulty
connections or that arising from external sources, it is found that
certain fundamental sources of noise are present within electronic
equipment that limit the receivers sensitivity.
Classification of noise
NOISE
NOISE WHOSE SOURCES ARE NOISE CREATED WITHIN
EXTERNAL TO THE RECEIVER THE RECEIVER ITSELF
3. EXTERNAL NOISE
Noise created outside the receiver
External noise can be further classified as:
1. Atmospheric
2. Extraterrestrial
3. Industrial
ATMOSPHERIC NOISE
Atmospheric noise or static is caused by lightning discharges in
thunderstorms and other natural electrical disturbances occurring in
the atmosphere.
Since these processes are random in nature, it is spread over most of
the RF spectrum normally used for broadcasting.
4. Atmospheric Noise consists of spurious radio signals with
components distributed over a wide range of frequencies. It is
propagated over the earth in the same way as ordinary radio
waves of same frequencies, so that at any point on the
ground, static will be received from all thunderstorms, local and
distant.
Atmospheric Noise becomes less at frequencies above 30 MHz
Because of two factors:-
1. Higher frequencies are limited to line of sight propagation i.e.
less than 80 km or so.
2. Nature of mechanism generating this noise is such that very
little of it is created in VHF range and above.
EXTRATERRESTRIAL NOISE
COSMIC NOISE SOLAR NOISE
5. Solar Noise
Under normal conditions there is a constant noise radiation from
sun, simply because it is a large body at a very high temperature (
over 6000°C on the surface, it therefore radiates over a very broad
frequency spectrum which includes frequencies we use for
communication.
Due to constant changing nature of the sun, it undergoes cycles of
peak activity from which electrical disturbances erupt, such as
corona flares and sunspots. This additional noise produced from a
limited portion of the sun, may be of higher magnitude than noise
received during periods of quite sun.
Cosmic Noise
Sources of cosmic noise are distant stars ( as they have high
6. temperatures), they radiate RF noise in a similar manner as our
Sun, and their lack in nearness is nearly compensated by their significant
number.
The noise received is called Black Body noise and is distributed fairly
uniformly over the entire sky.
Space (or Extraterrestrial noise) is observable at frequencies in the
range of about 8MHz to 1.43 GHz.
INDUSTRIAL NOISE
This noise ranges between 1 to 600 MHz ( in urban, suburban and
other industrial areas) and is most prominent.
Sources of such Noise : Automobiles and aircraft ignition, electric
motors, switching equipment, leakage from high voltage lines and a
multitude of other heavy electrical machines.
7. INTERNAL NOISE
Noise created by any of the active or passive devices found in
receivers.
Because the noise is randomly distributed over the entire radio
spectrum therefore it is proportional to bandwidth over which it is
measured.
Internal noise can be further classified as:
1. Thermal Noise
2. Shot Noise
3. Low frequency or flicker Noise
4. Burst Noise
5. Partition Noise
8. Thermal Noise
The noise generated in a resistance or a resistive component is
random and is referred to as thermal, agitation or Johnson noise.
CAUSE :
• The free electrons within an electrical conductor possess kinetic
energy as a result of heat exchange between the conductor and its
surroundings.
• Due to this kinetic energy the electrons are in motion, this motion is
randomized through collisions with imperfections in the structure of
the conductor. This process occurs in all real conductors and gives
rise to conductors resistance.
• As a result, the electron density throughout the conductor varies
9. randomly, giving rise to randomly varying voltage across the ends of
conductor. Such voltage can be observed as flickering on a very
sensitive voltmeter.
• The average or mean noise voltage across the
conductor is zero, but the root-mean-square value
is finite and can be measured.
• The mean square value of the noise voltage is
proportional to the resistance of the conductor, to
Ideal
its absolute temperature, to the frequency Filter
H(f)
bandwidth of the device measuring the noise.
• The mean-square voltage measured on the
meter is found to be
En2 = 4RkTBn ①
10. Where En = root-mean-square noise voltage, volts
R = resistance of the conductor, ohms
T = conductor temperature, kelvins
Bn = noise bandwidth, hertz
k = Boltzmann’s constant ( )
And the rms noise voltage is given by :
En = √(4RkTBn )
NOTE: Thermal Noise is not a free source of energy. To abstract the noise power, the resistance
R is to be connected to a resistive load, and in thermal equilibrium the load will supply as much
energy to R as it receives.
11. R
V RL
En
In analogy with any electrical source, the available average power is
defined as the maximum average power the source can deliver. Consider
a generator of EMF En volts and internal resistance R .
Assuming that RL is noiseless and receiving the maximum noise
power generated by R; under these conditions of maximum power
transfer, RL must be equal to R. Then
Pn = V2/RL = V2/ R = (En/2)2 /R = En2 /4R
Using Equation ①,
Pn = kTBn
12. Example:
Calculate the thermal noise power available from any resistor at room
temperature (290 K) for a bandwidth of 1MHz. Calculate also the
corresponding noise voltage, given that R = 50 Ω
Solution For a 1MHz bandwidth, the noise power is
Pn = 1.38 × 10-23 × 290 × 106 R
= 4 × 10-15 W
R (G=1/
En2 = 4 × 50 × 1.38 × 10-23 × 290
= 810-13 En2 = 4RkTBn
= 0.895 In2 = 4GkTBn
The thermal noise properties of a resister R may be a.) Equivalent Current
Voltage
represented be the equivalent voltage generator . Source
Source
Equivalent current generator is found using the Norton’s Theorem.
Using conductance G = (1/R), the rms noise current is given by :
In2 = 4GkTBn
13. Resisters in Series
let Rser represent the total resistance of the series chain, where
Rser = R1 + R2 + R3 + ….; then the noise voltage of equivalent series
resistance is
En2 = 4Rser kTBn
= 4( R1 + R2 + R3 + …)kTBn
= En12 + En22 + En32 + .....
Hence the noise voltage of the series chain is given by:
En = √ (En12 + En22 + En32 + .....)
Resisters in Parallel
With resistors in parallel it is best to work in terms of conductance.
Let Gpar represent the parallel combination where Gpar = G1 + G2 + G3 +
…; then
In2 = 4Gpar kTBn
= 4( G1 + G2 + G3 + …)kTBn
= In12 + In22 + In33 + ….
14. REACTANCE
Reactances do not generate thermal noise. This
follows from the fact that reactances cannot
Dissipate power.
Consider an inductive or capacitive reactance
connected in parallel with a resistor R.
In thermal equilibrium, equal amounts of power must be exchanged;
that is, P1 = P2 . But since the reactance cannot dissipate power, the
power P2 must be zero, and hence P1 must also be zero.
Shot Noise
Shot noise is random fluctuation that accompanies any direct current
crossing potential barrier. The effect occurs because the carriers
(electrons and holes in semiconductors) do not cross the barrier
simultaneously but rather with random distribution in the timing of
each carrier, which gives rise to random component of current
superimpose on the steady current.
15. In case of bipolar junction transistors , the bias current crossing the
forward biased emitter base junction carries the shot noise.
When amplified, this noise sounds as though a shower of lead shots
were falling on a metal sheet. Hence the name shot noise.
Although it is always present, shot noise is not normally observed
during measurement of direct current because it is small compared to
the DC value; however it does contribute significantly to the noise in
amplifier circuits.
The mean square noise component is proportion
to the DC flowing, and for most devices the mean- IDC
Square, shot-noise is given by:
In2 = 2Idc qe Bn ampere2
Time
Where Idc is the direct current in ampere’s, qe is the magnitude of
electronic charge and Bn is the equivalent noise bandwidth in hertz.
16. Example
Calculate the shot noise component of the current present on the direct
current of 1mA flowing across a semiconductor junction, given that the
effective noise bandwidth is 1 MHz.
SOLUTION
In2 = 2 × 10-3 × 1.6 × 10-19 × 106
= 3.2 × 10-16 A2
= 18 nA
Flicker Noise ( or 1/f noise )
This noise is observed below frequencies of few kilohertz and its
spectral density increases with decrease in frequency. For this reason it is
sometimes referred to as 1/f noise.
The cause of flicker noise are not well understood and is recognizable
by its frequency dependence. Flicker noise becomes very significant at
frequency lower than about 100 Hz. Flicker noise can be reduced
17. significantly by using wire-wound or metallic film resistors rather than
the more common carbon composition type.
In semiconductors, flicker noise arises from fluctuations in the carrier
densities (holes and electrons), which in turn give rise to fluctuations in
the conductivity of the material. I.e the noise voltage will be developed
whenever direct current flows through the semiconductor, and the
mean square voltage will be proportional to the square of the direct
current.
Burst Noise
It consists of sudden step-like transitions between two or more
discrete voltage or current levels, as high as several
hundred microvolts, at random and unpredictable times. Each shift in
offset voltage or current often lasts from several milliseconds to
seconds, and sounds like popcorn popping if hooked up to an audio
speaker.
18. The most commonly invoked cause is the random trapping and
release of charge carriers at thin film interfaces or at defect sites in
bulk semiconductor crystal. In cases where these charges have a
significant impact on transistor performance (such as under an MOS
gate or in a bipolar base region), the output signal can be substantial.
These defects can be caused by manufacturing processes, such as
heavy ion-implantation, or by unintentional side-effects such as surface
contamination.
Typical popcorn noise, showing discrete levels of channel current modulation due to the trapping and
release of a single carrier, for three different bias conditions
19. Partition Noise
Partition noise occurs whenever current has to divide between two or
more electrodes and results from the random fluctuations in the
division.
It is therefore expected that a diode would be less noisy than a
transistor if the third electrode draws current. It is for this reason that
the input stage of microwave receivers is often a diode circuit.
In case of common base transistor amplifier , as the emitter current is
divided into base and collector current , the partition noise effect arises
due to random fluctuation in the division of current between the
collector and the base.
Signal to noise ratio
It is defined as ratio of signal power to noise power at the same
point. I.e
S/N = Ps/ Pn= V2s / V2n
20. S/N Ratio of a Tandem Connection
Different sections of a Telephone Cable in analog telephone system.
LG=1 LG=1
L G L G G
Ps Ps Ps
Pn1 Pn1 + Pn2 Pn1 + Pn2 + …. + PnM
Ps
Different Parameters:
Total Noise at the output of Mth link =
L = Power Loss of a line section Pn1 + Pn2 + …. + PnM
G = Amplifier gain
Ps = Input signal Power PnM = MPn
Pn1 = Noise due to 1st repeater
PnM = Noise due to Mth Output signal to noise ratio :-
repeater
(S/N)1 = Signal to noise ratio of (S/N)o = 10log (Ps / MPn )
nay one link = (S/N)1 dB – (M) dB
(M)dB = No of Links expressed as
power ratio in decibels
21. NOISE FACTOR
Noise factor is the ratio of available S/N ratio at the input to the
available S/N ratio at the output .
Noise signal source at room temperature To = 290K providing an
input to an amplifier .
The available noise power = Pni = kToBn .
Available signal power = Psi
Available signal to noise ratio from the source is
(S/N)in = Psi /kTo Bn
Power gain of the amplifier = G
Available output signal power Pso = GPsi
Available Output noise power = Pno = GkTo Bn ( if the
amplifier was entirely noiseless )
Real amplifiers contribute noise and the available output signal to noise
ratio will be less than that at the input.
22. The noise factor F is defined as
F = (available S/N power ratio at the input) /
(available S/N power ratio at the output)
F = ( Psi /kTo Bn ) X (Pno /GPsi )
F = Pno /GkTo Bn
It follows from this that the available output noise power is given by
Pno =FGkTo Bn
F can be interpreted as the factor by which the amplifier increases
the output noise , for ,if amplifier were noiseles the output noise
would be GkTn Bn .
The available output power depends on the actual input power
delivered to the amplifier .
23. Noise factor is a measured quantity and will be specified for
given amplifier or network. It is usually specified in decibels , when
it is referred to as the noise figure. Thus
noise figure = (F) dB = 10logF
Example
The noise figure of an amplifier is 7dB. Calculate the output signal
to noise ratio when the input signal to noise ratio is 35 dB.
Sol . From the definition of noise factor ,
(S/N)o = (S/N)in – (F) dB
= (35 – 7) dB
= 28 db
24. Amplifier Input Noise in terms of F
The total available input noise is
Pni = Pno / G ( Pno = Available output noise power)
= FkTo Bn
The source contributes an available
power kTo Bn and hence the amplifier
Pna = FkTo Bn – kTo Bn
= (F – 1)kTo Bn
Amplifier
kTo Bn (F-1)kTo Bn Gain, G Pno =
Noise FGkTo Bn
Factor F
25. Example
An amplifier has a noise figure of 13dB. Calculate
equivalent amplifier input noise for a bandwidth of 1
MHz.
Sol. 13 dB is a power ratio of approximately 20 : 1. hence
Pna = (20 – 1)X 4 X 10-21 X 106
= 1.44pW.
Noise figure must be converted to a power ratio F to be
used in the calculation.
26. Noise factor of amplifiers in cascade
The available noise power at the output of the amplifier 1 is
Pno1 = F1 G1 kTo Bn and this available to amplifier 2.
Amplifier 2 has noise (F2 – 1)kTo Bn of its own at its input, hence total
available noise power at the input of amplifier 2 is
Pni2 = F1 G1 kTo Bn + (F2 -1)kTo Bn
Now since the noise of amplifier 2 is represented by its equivalent
input source , the amplifier itself can be regarded as being noiseless and
of available power gain G2 , so the available noise output of amplifier 2
is
Pno2 = G2 Pni2
= G2 ( F1 G1 kTo Bn + (F2 –1)kTo Bn ) - (1)
27. The overall available power of the two amplifiers in cascade is
G = G1 G2 and let overall noise factor be F ; then output noise power
can also be expressed as
Pno = FGkToBn (2)
equating the two equations for output noise (1) and (2)
F1 G1 kTo Bn + (F2 -1)kTo Bn = FGkToBn
F1 G1 + (F2 -1) = FG
F = F1 G1 / G + (F2 – 1)/G
where G = G1 G2
F = F1 + ( F2 – 1)/ G1
28. This equation shows the importance of high gain , low
noise amplifier as the first stage of a cascaded system. By
making G1 large, the noise contribution of the second
stage can be made negligible, and F1 must also be small so
that the noise contribution of the first amplifier is low.
The argument is easily extended for additional amplifiers
to give
F = F1 + (F2 -1)/G1 + (F3 -1)/ G1 G2
This is known as FRISS’ FORMULA.
Editor's Notes
On a worldwide scale, eight million lightning flashes occur daily. This is about 100 lightning flashes per second. The sum of all these lightning flashes results in atmospheric noise.At low frequencies (below approximately 2 MHz or so) radio signals travel as ground waves, which follow the Earth's curvature due to diffractionwith the layers of atmosphere. This enables AM radio signals in low-noise environments to be received well after the transmitting antenna has dropped below the horizon. Additionally, frequencies between approximately 1 and 30 MHz, can be reflected by the F1/F2 Layer, thus giving radio transmissions in this range a potentially global reach (see shortwave radio), again along multiply deflected straight lines. The effects of multiple diffraction or reflection lead to macroscopically "quasi-curved paths".However, at higher frequencies and in lower levels of the atmosphere, neither of these effects are significant. Thus any obstruction between the transmitting antenna and the receiving antenna will block the signal, just like the light that the eye may sense. Therefore, since the ability to visually see a transmitting antenna (disregarding the limitations of the eye's resolution) roughly corresponds to the ability to receive a radio signal from it, the propagation characteristic of high-frequency radio is called "line-of-sight". The farthest possible point of propagation is referred to as the "radio horizon".
Space (or Extraterrestrial noise) is observable at frequencies in the range of about 8Mhz to 1.43 Ghz, the latter frequency corresponding to the 21cm hydrogen line. Apart from man made noise it is the strongest component over the range of about 20 to 120Mhz. Not very much of it below 20Mhz penetrates down through the ionosphere, and it also disappears at frequencies in the excess of 1.5Ghz because of the mechnisms generating it.
The telephone cables of analog telephone system is divided into number of line sections as shown, and each line section has some amount of power loss which is compensated by adding amplifiers known as repeaters. So if the power loss of a line section is L then amplifier of power Gain G is chosen such that LG=1.TheEach amplifier in every section adds its own noise and so the noise accumulates as the signal travels along the system.Input signal to first section of line is Ps and input noise at this point is assumed to be negligible. This signal power remain same at the output of 1st section since the loss l in this section is being compensated by gain G of the amp .The noise at the output of 1st repeater is Pn1 and consists of the noise added by the line section and the amplifier.As the signal progresses along the link, the power output at each repeater remains the same i.e Ps because LG =1 for each link. But the total noise at the output of Mth link will be Pn1 + Pn2 +….If the links are identical and each link contributes to Pn, the total noise power becomes PnM = MPn
Amplifier noise is generated in many components throughout the amplifier , but it proves convenient to imagine it to originate from some Equivalent power source at the input of the amplifier .
Consider first two amplifiers in cascade . The problem is to determine the overall noise factor F in terms of individual noise factors and available power gains .