| Anti-aliasing Filter |
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Information AboutAnti-aliasing Filter |
| CATEGORIES ABOUT ANTI-ALIASING FILTER | |
| digital signal processing | |
| linear filters | |
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Since the theorem states that unambiguous interpretation of the signal from its samples is possible only when the power of frequencies outside the Nyquist bandwidth is zero, the anti-aliasing filter would have to have perfect stop-band rejection to completely satisfy the theorem. Every realizable anti-aliasing filter will permit some Aliasing to occur; the amount of aliasing that does occur depends on how good the filter is. Anti-aliasing filters are commonly used at the input of Digital Signal Processing systems, for example in sound digitization systems; similar filters are used as Reconstruction Filter s at the output of such systems, for example in music players. In the latter case, the filter is to prevent aliasing in the conversion of samples back to a continuous signal, where again perfect stop-band rejection would be required to guarantee zero aliasing. The theoretical impossibility of realizing perfect filters is not much an impediment in practice, though practical considerations do lead to system design choices such as oversampling to make it easier to realize "good enough" anti-aliasing filters. OPTICAL ANTI-ALIASING FILTER |
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