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Wiener Filter/Evidence
Method evidence record

Wiener Filter

The Wiener filter is an optimal linear filter that minimizes mean-square error between the desired signal and the filter output given knowledge of signal and noise statistics. Developed by Norbert Wiener in 1949, it provides the theoretical foundation for optimal filtering and remains the benchmark against which all other linear filtering methods are compared.

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Wiener Optimal Linear Filter
Taxonomic method record · process-pipeline / signal-processing
  • Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series. John Wiley & Sons. · URL
  • Haykin, S. (2002). Adaptive Filter Theory (4th ed.). Prentice Hall. · URL
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Related methods

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Same method familyAdaptive LMS Filtermachine-suggested · Relational suggestion, not evidence.Same method familyIIR Filter Designmachine-suggested · Relational suggestion, not evidence.Same method familyKalman Filter for Signal Trackingmachine-suggested · Relational suggestion, not evidence.Same method familyMatched Filtermachine-suggested · Relational suggestion, not evidence.

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Sources

2 recorded citations, copied from the method source record.

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