![]() ![]() In music and acoustics, the term "white noise" may be used for any signal that has a similar hissing sound. ![]() On the other hand, the "sh" sound /ʃ/ in "ash" is a colored noise because it has a formant structure. Such a signal is heard by the human ear as a hissing sound, resembling the /h/ sound in a sustained aspiration. For an audio signal, the relevant range is the band of audible sound frequencies (between 20 and 20,000 Hz). Thus, random signals are considered "white noise" if they are observed to have a flat spectrum over the range of frequencies that are relevant to the context. The bandwidth of white noise is limited in practice by the mechanism of noise generation, by the transmission medium and by finite observation capabilities. The concept can be defined also for signals spread over more complicated domains, such as a sphere or a torus.Īn infinite-bandwidth white noise signal is a purely theoretical construction. In digital image processing, the pixels of a white noise image are typically arranged in a rectangular grid, and are assumed to be independent random variables with uniform probability distribution over some interval. The samples of a white noise signal may be sequential in time, or arranged along one or more spatial dimensions. In particular, if each sample has a normal distribution with zero mean, the signal is said to be additive white Gaussian noise. 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 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.
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