Ricardo A. Vargas

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This paper introduces an iterative algorithm for designing IIR digital filters that minimize a complex approximation error in an £ ¥ ¤ sense. The algorithm combines ideas that have proven successful in the similar problem of £ ¦ ¤ FIR filter design. We use iterative prefiltering techniques common in applications such as parameter estimation together with an(More)
This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus' iterative reweighted least-squares (IRLS) method for approximating Lp filters. Such algorithm will converge for most significant cases in a few iterations. In some cases however,(More)
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