A Discrete Filled Function Method for the Design of FIR Filters With Signed-Powers-of-Two Coefficients
In this paper, we consider the optimal design of finite-impulse response (FIR) filters with coefficients expressed as sums of signed powers-of-two (SPT) terms, where the normalized peak ripple (NPR) is taken as the performance measure. This problem is formulated as a mixed-integer programming proble...
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Veröffentlicht in: | IEEE transactions on signal processing 2008-01, Vol.56 (1), p.134-139 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper, we consider the optimal design of finite-impulse response (FIR) filters with coefficients expressed as sums of signed powers-of-two (SPT) terms, where the normalized peak ripple (NPR) is taken as the performance measure. This problem is formulated as a mixed-integer programming problem. Based on a transformation between two different integer spaces and the computation of the optimal scaling factor for a given set of coefficients, this mixed integer programming problem is transformed into an equivalent integer programming problem. Then, an efficient algorithm based on a discrete filled function is developed for solving this equivalent problem. For illustration, some numerical examples are solved. |
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ISSN: | 1053-587X 1941-0476 |
DOI: | 10.1109/TSP.2007.901164 |