14 Facts About White noise

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.

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.

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.

An infinite-bandwidth white noise signal is a purely theoretical construction.

The bandwidth of white noise is limited in practice by the mechanism of noise generation, by the transmission medium and by finite observation capabilities.

Term white noise is sometimes used in the context of phylogenetically based statistical methods to refer to a lack of phylogenetic pattern in comparative data.

White noise is the generalized mean-square derivative of the Wiener process or Brownian motion.

White noise is commonly used in the production of electronic music, usually either directly or as an input for a filter to create other types of noise signal.

White noise is used to obtain the impulse response of an electrical circuit, in particular of amplifiers and other audio equipment.

White noise is used as the basis of some random number generators.

White noise is a common synthetic noise source used for sound masking by a tinnitus masker.

The Marpac Sleep-Mate was the first domestic use white noise machine built in 1962 by traveling salesman Jim Buckwalter.

The experiments showed that white noise improved the participant's learning abilities and their recognition memory slightly.