Methoden vergleichen
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| Wiener-Filter× | Matched Filter× | |
|---|---|---|
| Fachgebiet | Signalverarbeitung | Signalverarbeitung |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1949 | 1943 |
| Urheber≠ | Norbert Wiener | D. O. North |
| Typ≠ | Linear mean-square optimal filter | Optimal filter for signal detection |
| Wegweisende Quelle≠ | Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series. John Wiley & Sons. link ↗ | North, D. O. (1943). An Analysis of the Factors Which Determine Signal/Noise Discrimination in Pulsed Carrier Systems. RCA Laboratories, Technical Report PTM-946. link ↗ |
| Aliasnamen | Wiener Optimal Filter, Kolmogorov-Wiener Filter, Mean-Square Optimal Filter | Correlation Detector, Optimal Filter Detection, Template Matching |
| Verwandt | 4 | 4 |
| Zusammenfassung≠ | 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. | The matched filter is an optimal signal detector that maximizes the signal-to-noise ratio (SNR) for detecting a known signal in additive Gaussian noise. Developed by D. O. North during World War II for radar applications, the matched filter represents the optimal linear filter for signal detection and remains the foundation for detection theory and digital communications. |
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