2006
DOI: 10.1117/12.674975
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<title>Farrow structure implementation of fractional delay filter optimal in Chebyshev sense</title>

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Cited by 6 publications
(9 citation statements)
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“…13a) is practically the same as that required for the proposed structure (Fig. 13b) [2,7], which needs only a few additional numerical operations. This small overhead in numerical costs allows for a change of filter type and/or length by simple replacement of an extracted window and coefficients of polynomial approximating gain correction factor for this window, which is the advantage of the proposed structure.…”
Section: Vfd Filter Implementationmentioning
confidence: 48%
See 3 more Smart Citations
“…13a) is practically the same as that required for the proposed structure (Fig. 13b) [2,7], which needs only a few additional numerical operations. This small overhead in numerical costs allows for a change of filter type and/or length by simple replacement of an extracted window and coefficients of polynomial approximating gain correction factor for this window, which is the advantage of the proposed structure.…”
Section: Vfd Filter Implementationmentioning
confidence: 48%
“…As we can see, the impulse response of full band LS FD filter (15) is a truncated impulse response of the ideal FD filter (2). This means that this type of FD filter can be designed using the rectangular window…”
Section: Extracted Window Methodsmentioning
confidence: 99%
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“…The polynomials of order q equal to 6 or 7 offer performance adequate for high quality FD filters with approximation error about −100 dB (Blok, 2005). The resulting structure is equally efficient for both the optimal (minimax or LS) FD filters and FD filters designed using the offset window method (Blok, 2012a).…”
Section: Vfd Filter Implementationmentioning
confidence: 99%