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Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters

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dc.contributor.author Vargas, Ricardo
Burrus, C. Sidney
dc.creator Vargas, Ricardo
Burrus, C. Sidney
dc.date.accessioned 2007-10-31T01:07:35Z
dc.date.available 2007-10-31T01:07:35Z
dc.date.issued 1999-03-01
dc.date.submitted 1999-03-01
dc.identifier.uri http://hdl.handle.net/1911/20403
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 FIR
IRLS
Lp
dc.subject.other Filter Design
dc.title Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters
dc.type Conference Paper
dc.date.note 2002-02-14
dc.citation.bibtexName inproceedings
dc.date.modified 2004-02-03
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword FIR
IRLS
Lp
dc.citation.volumeNumber 3
dc.citation.pageNumber 1129-32
dc.citation.location Phoenix, AZ
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.identifier.citation R. Vargas and C. S. Burrus,"Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 1129-32.

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  • ECE Publications [1046 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.