Nonlinear phase FIR filter design with minimum LS error and additional constraints

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dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleEURASIP Signal Processingen_US
dc.contributor.authorLang, Markusen_US
dc.contributor.authorBamberger, Joachimen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:50:55Zen_US
dc.date.available2007-10-31T00:50:55Zen_US
dc.date.issued1994-07-01en_US
dc.date.modified2004-11-11en_US
dc.date.submitted2004-11-08en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the <i>L<sub>2</sub></i> norm subject to additional inequality constraints for the complex error function. Starting with the Kuhn-Tucker optimality conditions which specialize to a system of nonlinear equations we deduce an iterative algorithm. These equations are solved by Newton's method in every iteration step. The algorithm allows arbitrary tradeoffs between an <i>L<sub>2</sub></i> and an <i>L<sub>oo</sub></i> design. The <i>L<sub>2</sub></i> and the <i>L<sub>oo</sub></i> solution result as special cases.en_US
dc.identifier.citationM. Lang and J. Bamberger, "Nonlinear phase FIR filter design with minimum LS error and additional constraints," <i>EURASIP Signal Processing,</i> 1994.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1993.319434en_US
dc.identifier.urihttps://hdl.handle.net/1911/20044en_US
dc.language.isoengen_US
dc.subjectfilter designen_US
dc.subject.keywordfilter designen_US
dc.subject.otherFilter Designen_US
dc.titleNonlinear phase FIR filter design with minimum LS error and additional constraintsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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