"Circular" means the variance of the real and imaginary parts are equal.
"White" refers to the fact that the power spectral density of the noise is flat across the whole frequency spectrum. This means that its autocorrelation is a Dirac-delta at t=0 (so its covariance matrix will show noise powers on the diagonal elements and zeros elsewhere).
"Gaussian" means the probability distribution of the amplitudes of the noise samples is Gaussian.
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An AWGN channel adds white Gaussian noise to the signal that passes through it.
There are a number of ways to classify noise. It can be subdivided according to type, source, effect, or relation to the receiver, depending on circumstances. In order to make the classification more compact, noise sources can be divided into two main groups: • Noise whose sources are external to the receiver (External Noise) and • Noise source created within the receiver itself (Internal Noise). types include: Shot noise; Johnson noise and Partition noise.In electrical terms, noise is defined as the unwanted form of energy which tends to interface with the proper reception and the reproduction of transmitted signals. Electronic Devices unwanted random addition to the signal are considered as Noise.Classification of Noise:There are several way to classify Noise, but conveniently Noise is classified as1) External Noise2) Internal NoiseExternal Noise:External noise is defined as the type of Noise which is general externally due to communicationsystem. External Noise are analysed qualitatively. Now, External Noise may be classified asa) Atmospheric Noise : Atmospheric Noise is also known as static noise which is the natural source of disturbance caused by lightning, discharge in thunderstorm and the natural disturbances occurring in the nature.b) Industrial Noise : Sources of Industrial noise are auto-mobiles, aircraft, ignition of electric motors and switching gear. The main cause of Industrial noise is High voltage wires. These noises is generally produced by the discharge present in the operations.c) Extraterrestrial Noise : Extraterrestrial Noise exist on the basis of their originating source. They are subdivided intoi) Solar Noiseii) Cosmic NoiseInternal Noise:Internal Noise are the type of Noise which are generated internally or within the Communication System or in the receiver. They may be treated qualitatively and can also be reduced or minimized by the proper designing of the system. Internal Noises are classified as1) Shot Noise : These Noise are generally arises in the active devices due to the random behaviour of Charge particles or carries. In case of electron tube, shot Noise is produces due to the random emission of electron form cathodes.2) Partition Noise : When a circuit is to divide in between two or more paths then the noise generated is known as Partition noise. The reason for the generation is random fluctuation in the division.3) Low- Frequency Noise : They are also known as FLICKER NOISE. These type of noise are generally observed at a frequency range below few kHz. Power spectral density of these noise increases with the decrease in frequency. That why the name is given Low- Frequency Noise.4) High- Frequency Noise : These noises are also known TRANSIT- TIME Noise. They are observed in the semi-conductor devices when the transit time of a charge carrier while crossing a junction is compared with the time period of that signal.5) Thermal Noise : Thermal Noise are random and often referred as White Noise or Johnson Noise. Thermal noise are generally observed in the resistor or the sensitive resistive components of a complex impedance due to the random and rapid movement of molecules or atoms or electrons.Get more details from http://blog.oureducation.in/types-of-noise/
noise filters are used in electronics and electric curcuts to reduce the the noise level which the electric switching generats sometimes the are single phase and there are three phase also the most used noise filters are ssr emc filters
If you make a noise, a man wearing just boxers will attack you
A Gaussian noise is a type of statistical noise in which the amplitude of the noise follows that of a Gaussian distribustion whereas additive white Gaussian noise is a linear combination of a Gaussian noise and a white noise (white noise has a flat or constant power spectral density).
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for a white noise the psd is flat i.e the distribution of energy over central freq is 1 and for gaussian noise as the name says the psd is normally distributed.
Gaussian noise is similar to white noise, but it falls within a narrower range of frequencies. In communications, it is produced by the movement of electricity through the line. You see and hear that when you have your television on an empty channel. Within photos and videos, Gaussian noise is in the form of random patterns, and this is what makes things look slightly blurry.
The Gaussian distribution is the same as the normal distribution. Sometimes, "Gaussian" is used as in "Gaussian noise" and "Gaussian process." See related links, Interesting that Gauss did not first derive this distribution. That honor goes to de Moivre in 1773.
This additive noise come from varies factors , one of the main factor is Temperature.Why this noise said to additive in the sense this noise only adding the signal not integrating the noise, so it is a cumulative processes, not integrating one.
Takeyuki Hida has written: 'Complex white noise and infinite dimensional unitary group' -- subject(s): Gaussian processes, Linear algebraic groups, Unitary groups, Wiener integrals 'Mathematical Approach to Fluctuations: Astronomy, Biology and Quantum Dynamics : Proceedings of the Iias Workshop' 'Complex white noise and infinite dimensional untrary group' -- subject(s): Gaussian processes, Random noise theory, Stochastic processes 'Stationary stochastic processes' -- subject(s): Stationary processes
An AWGN channel adds white Gaussian noise to the signal that passes through it.
Percy A. Pierre has written: 'Characterizations of Gaussian random processes by representations in terms of independent random variables' -- subject(s): Gaussian processes, Random noise theory
Thermal noise occurs due to the motion of millions of electrons in a object. Due to the central limit theorem, the total effect can be modeled as a Gaussian distributed random variable with zero mean and N_0/2 variance.
A clock is the answer
Thermal noise occurs in all transmission media and all communication equipment, including passive devices. It arises from random electron motion and is characterized by a uniform distribution of energy over the frequency spectrum with a Gaussian distribution of levels. Noise. Impulse noise is noncontinuous, consisting of irregular pulses or noise "spikes" of short duration, broad spectral density, and relatively high amplitude.