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Wiener filter

Filter to reduce the amount of noise present in a signal

In signal processing, the Wiener filter (named after Norbert Wiener) is a filter used to produce an estimate of a desired or target random process by linear time-invariant (LTI) filtering of an observed noisy process, assuming known stationary signal and noise spectra, and additive noise. The Wiener filter minimizes the mean square error between the estimated random process and the desired process.

Nº Q25523 ★

Common · Knowledge

Wiener filter

Filter to reduce the amount of noise present in a signal

In signal processing, the Wiener filter (named after Norbert Wiener) is a filter used to produce an estimate of a desired or target random process by linear time-invariant (LTI) filtering of an observed noisy process, assuming known stationary signal and noise spectra, and additive noise. The Wiener filter minimizes the mean square error between the estimated random process and the desired process.

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From Wikipedia

In signal processing, the Wiener filter (named after Norbert Wiener) is a filter used to produce an estimate of a desired or target random process by linear time-invariant (LTI) filtering of an observed noisy process, assuming known stationary signal and noise spectra, and additive noise. The Wiener filter minimizes the mean square error between the estimated random process and the desired process.

Text: Wikipédia, CC BY-SA 4.0. ·

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