pub fn white_noise() -> f64
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| In signal processing, white noise is | a random signal having equal intensity | at different frequencies, giving it | a constant power spectral density. | White noise refers to a statistical | model for signals and signal sources, | rather than to any specific signal. | White noise draws its name from white | light, although light that appears | white generally does not have a flat | power spectral density over the visible | band. | | In discrete time, white noise is a discrete | signal whose samples are regarded as | a sequence of serially uncorrelated | random variables with zero mean and | finite variance; a single realization | of white noise is a random shock. Depending | on the context, one may also require | that the samples be independent and | have identical probability distribution | (in other words independent and identically | distributed random variables are the | simplest representation of white noise). | In particular, if each sample has a normal | distribution with zero mean, the signal | is said to be additive white Gaussian | noise. (from Wikipedia) |