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dc.contributor.authorVargas, Ricardo
Burrus, C. Sidney
dc.creatorVargas, Ricardo
Burrus, C. Sidney 2007-10-31T01:07:35Z 2007-10-31T01:07:35Z 1999-03-01 1999-03-01
dc.description Conference paper
dc.description.abstract 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, the transition bandwidth is such that the number of iterations increases significantly. The proposed algorithm controls such problem and drastically reduces the number of iterations required.
dc.language.iso eng
dc.publisher IEEE
dc.subject.otherFilter Design
dc.title Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters
dc.type Conference paper 2002-02-14
dc.citation.bibtexName inproceedings 2004-02-03
dc.contributor.orgDigital Signal Processing (
dc.citation.volumeNumber 3
dc.citation.location Phoenix, AZ
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doi 10.1109/ICASSP.1999.756175
dc.citation.firstpage 1129
dc.citation.lastpage 1132
dc.identifier.citation R. Vargas and C. S. Burrus, "Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters," vol. 3, 1999.

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  • ECE Publications [1093]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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