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| Progettazione del Filtro di Butterworth× | Filtro di Wiener× | |
|---|---|---|
| Campo | Elaborazione dei segnali | Elaborazione dei segnali |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1930 | 1949 |
| Ideatore≠ | Stephen Butterworth | Norbert Wiener |
| Tipo≠ | Infinite Impulse Response (IIR) filter design | Linear mean-square optimal filter |
| Fonte seminale≠ | Butterworth, S. (1930). On the Theory of Filter Amplifiers. Wireless Engineer and Experimental Wireless, 7, 536–541. link ↗ | Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series. John Wiley & Sons. link ↗ |
| Alias≠ | Butterworth IIR Design, Butterworth Lowpass Filter | Wiener Optimal Filter, Kolmogorov-Wiener Filter, Mean-Square Optimal Filter |
| Correlati | 4 | 4 |
| Sintesi≠ | The Butterworth filter is a type of signal processing filter designed to have the flattest possible frequency response in the passband while rolling off toward the stopband with a gentle slope. Introduced by Stephen Butterworth in 1930, it has become one of the most widely used filter designs in electrical engineering and digital signal processing due to its predictable and smooth frequency characteristics. | 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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