Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.citation.firstpage1129en_US
dc.citation.lastpage1132en_US
dc.citation.locationPhoenix, AZen_US
dc.citation.volumeNumber3en_US
dc.contributor.authorVargas, Ricardoen_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:07:35Zen_US
dc.date.available2007-10-31T01:07:35Zen_US
dc.date.issued1999-03-01en_US
dc.date.modified2004-02-03en_US
dc.date.note2002-02-14en_US
dc.date.submitted1999-03-01en_US
dc.descriptionConference paperen_US
dc.description.abstractThis 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.en_US
dc.identifier.citationR. Vargas and C. S. Burrus, "Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters," vol. 3, 1999.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1999.756175en_US
dc.identifier.urihttps://hdl.handle.net/1911/20403en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectFIRen_US
dc.subjectIRLSen_US
dc.subjectLpen_US
dc.subject.keywordFIRen_US
dc.subject.keywordIRLSen_US
dc.subject.keywordLpen_US
dc.subject.otherFilter Designen_US
dc.titleAdaptive Iterative Reqeighted Least Squares Design of LP FIR Filtersen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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