Magnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithm

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dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleIEEE Transactions on Signal Processingen_US
dc.contributor.authorSelesnick, Ivan W.en_US
dc.contributor.authorLang, Markusen_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:04:52Zen_US
dc.date.available2007-10-31T01:04:52Zen_US
dc.date.issued1994-05-01en_US
dc.date.modified2004-11-08en_US
dc.date.submitted2004-11-08en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe describe a Remez type exchange algorithm for the design of stable recursive filters for which the Chebyschev norm of H(w) - F(w) is minimized, where H(w) and F(w) are the realized and desired magnitude squared frequency responses. The number of poles and zeros can be chosen arbitrarily and the zeros do not have to lie on the unit circle. The algorithm allows us to design filters with non-conventional frequency responses with arbitrary weighting functions. It also gives optimal minimum phase FIR filters and Elliptic recursive filters as special cases. We discuss three main difficulties in the use of the Remez algorithm for recursive filter design and give ways to overcome them.en_US
dc.identifier.citationI. W. Selesnick, M. Lang and C. S. Burrus, "Magnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithm," <i>IEEE Transactions on Signal Processing,</i> 1994.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/DSP.1994.379882en_US
dc.identifier.urihttps://hdl.handle.net/1911/20345en_US
dc.language.isoengen_US
dc.subjectfilter designen_US
dc.subject.keywordfilter designen_US
dc.subject.otherFilter Designen_US
dc.titleMagnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithmen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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