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dc.contributor.authorNowak, Robert David
dc.creatorNowak, Robert David 2007-10-31T00:56:16Z 2007-10-31T00:56:16Z 1996-05-20 1996-05-20
dc.description Conference Paper
dc.description.abstract Volterra filters have been applied to many nonlinear system identification problems. However, obtaining good filter estimates from short and/or noisy data records is a difficult task. We propose a penalized least squares estimation algorithm and derive appropriate penalizing functionals for Volterra filters. An example demonstrates that penalized least squares estimation can provide much more accurate filter estimates than ordinary least squares estimation.
dc.language.iso eng
dc.subject.otherWavelet based Signal/Image Processing
dc.title Volterra Filter Identification Using Penalized Least Squares
dc.type Conference paper 2004-01-13
dc.citation.bibtexName inproceedings 2004-01-22
dc.contributor.orgDigital Signal Processing (
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation R. D. Nowak, "Volterra Filter Identification Using Penalized Least Squares," 1996.

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  • ECE Publications [1093]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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