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Volterra Filter Identification Using Penalized Least Squares

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dc.contributor.author Nowak, Robert David
dc.creator Nowak, Robert David
dc.date.accessioned 2007-10-31T00:56:16Z
dc.date.available 2007-10-31T00:56:16Z
dc.date.issued 1996-05-20
dc.date.submitted 1996-05-20
dc.identifier.uri http://hdl.handle.net/1911/20158
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.subject temporary
dc.subject.other Wavelet based Signal/Image Processing
dc.title Volterra Filter Identification Using Penalized Least Squares
dc.type Conference Paper
dc.date.note 2004-01-13
dc.citation.bibtexName inproceedings
dc.date.modified 2004-01-22
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword temporary
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.identifier.citation R. D. Nowak,"Volterra Filter Identification Using Penalized Least Squares," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),

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  • ECE Publications [1082 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.