Gaussian noise - definitie. Wat is Gaussian noise
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Wat (wie) is Gaussian noise - definitie


Gaussian noise         
TYPE OF NOISE IN SIGNAL PROCESSING
White Gaussian noise
Gaussian noise, named after Carl Friedrich Gauss, is a term from signal processing theory denoting a kind of signal noise that has a probability density function (pdf) equal to that of the normal distribution (which is also known as the Gaussian distribution). In other words, the values that the noise can take are Gaussian-distributed.
Additive white Gaussian noise         
  • AWGN contributions in the phasor domain
  • Zero crossings of a noisy cosine
BASIC NOISE MODEL USED IN INFORMATION THEORY TO MIMIC THE EFFECT OF MANY RANDOM PROCESSES THAT OCCUR IN NATURE
Additive white gaussian noise; AWGN; Additive Gaussian white noise; Additive noise; Gaussian channel; Additive White Gaussian Noise
Additive white Gaussian noise (AWGN) is a basic noise model used in information theory to mimic the effect of many random processes that occur in nature. The modifiers denote specific characteristics:
Gaussian function         
  • The [[discrete Gaussian kernel]] (solid), compared with the [[sampled Gaussian kernel]] (dashed) for scales <math>t = 0.5,1,2,4.</math>
  • 3d plot of a Gaussian function with a two-dimensional domain
MATHEMATICAL FUNCTION
Gaussian curve; Gaussian kernel; Gauss kernel; Error Curve; Error curve; Area under Gaussian curve; Area under the bell curve; Area under gaussian curve; Gauss curve; Integral of a Gaussian function; Integral of a Gaussian Function; Gauss bell
In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form