2008
DOI: 10.1109/icassp.2008.4518465
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A computationally efficient coefficient update technique for Lagrange fractional delay filters

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Cited by 5 publications
(6 citation statements)
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“…This implies that for any and that the formula in (5) can be applied to . So, since , it follows that: (10) with error bounded by . In summary, the coefficients can be used to approximate , provided the derivatives for are known using (10).…”
Section: Derivation Of a Barycentric Interpolator From The Coeffimentioning
confidence: 95%
See 1 more Smart Citation
“…This implies that for any and that the formula in (5) can be applied to . So, since , it follows that: (10) with error bounded by . In summary, the coefficients can be used to approximate , provided the derivatives for are known using (10).…”
Section: Derivation Of a Barycentric Interpolator From The Coeffimentioning
confidence: 95%
“…So, since , it follows that: (10) with error bounded by . In summary, the coefficients can be used to approximate , provided the derivatives for are known using (10). In practice, however, this last condition is hardly fulfilled, but it is reasonable to employ (10) recursively, by substituting the values by the approximations which have already been computed using (10) itself.…”
Section: Derivation Of a Barycentric Interpolator From The Coeffimentioning
confidence: 95%
“…This is because there is only one design parameter, that is, the polynomial order L. Most of the recently reported FD design methods belong to this time domain approach such as [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…The most popular polynomial based technique for the closed-form designs of VFD filters is the maximally flat FIR filters [33][34][35][36][37][38][39][40][41][42][43][44]…”
Section: Closed-form Approachesmentioning
confidence: 99%
“…The conventional approaches for the polynomial approximation of VFD filters can be categorized into closed-form approaches and optimization approaches. In the closedform approaches [33][34][35][36][37][38][39][40][41][42][43][44][73][74][75][76][77], the Lagrange interpolation [33][34][35][36][38][39][40][41][42][43] is the most attractive technique because it can approximate the required fractional delays accurately if only fractional delays at low frequency are concerned [49]. Many researches have been done to exploit the relations between the filter coefficients to reduce the filter implementation complexity, and the original Farrow structure is modified such that the structure can be used to implement the Lagrange interpolation VFD filter [33-36, 38, 39].…”
Section: Introductionmentioning
confidence: 99%