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dc.contributor.authorLang, Markus
Bamberger, Joachim
dc.creatorLang, Markus
Bamberger, Joachim 2007-10-31T00:50:55Z 2007-10-31T00:50:55Z 1994-07-01 2004-11-08
dc.identifier.citation M. Lang and J. Bamberger, "Nonlinear phase FIR filter design with minimum LS error and additional constraints," EURASIP Signal Processing, 1994.
dc.description Journal Paper
dc.description.abstract We examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the L<sub>2</sub> 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 L<sub>2</sub> and an L<sub>oo</sub> design. The L<sub>2</sub> and the L<sub>oo</sub> solution result as special cases.
dc.language.iso eng
dc.subjectfilter design
dc.subject.otherFilter Design
dc.title Nonlinear phase FIR filter design with minimum LS error and additional constraints
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle EURASIP Signal Processing 2004-11-11
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordfilter design
dc.type.dcmi Text
dc.type.dcmi Text

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1287]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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