Optimal parallel 2-D FIR digital filter with separable terms

dc.citation.bibtexNamearticleen_US
dc.citation.issueNumber5en_US
dc.citation.journalTitleIEEE Transactions on Signal Processingen_US
dc.citation.volumeNumber45en_US
dc.contributor.authorVenkatachalam, Vidyaen_US
dc.contributor.authorAravena, Jorge.L.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:07:53Z
dc.date.available2007-10-31T01:07:53Z
dc.date.issued1997-05-01en
dc.date.modified2004-11-09en_US
dc.date.submitted2004-11-09en_US
dc.descriptionJournal Paperen_US
dc.description.abstractThis paper completely solves the optimal Weighted Least Mean Square (WLMS) design problem using sums of separable terms. For any fixed number of separable terms (less than or equal to the rank of the unconstrained solution), the problem is solved as a sequence of separable filter approximations. An efficient computational algorithm based on necessary conditions is presented. The procedure allows a high degree of flexibility in the choice of filter orders and the number of separable terms, but it may converge to a local minimum. An improved approximation can be obtained by computing more terms than required and then performing a truncation of the coefficient matrix using a singular value analysis. A significant computational advantage is that the procedure requires neither the solution of the unconstrained WLMS problem nor the singular value analysis of the ideal filter.en_US
dc.identifier.citationV. Venkatachalam and J. Aravena, "Optimal parallel 2-D FIR digital filter with separable terms," <i>IEEE Transactions on Signal Processing,</i> vol. 45, no. 5, 1997.
dc.identifier.doihttp://dx.doi.org/10.1109/78.575718en_US
dc.identifier.urihttps://hdl.handle.net/1911/20409
dc.language.isoeng
dc.subjectfilter design*
dc.subject.keywordfilter designen_US
dc.subject.otherFilter Designen_US
dc.titleOptimal parallel 2-D FIR digital filter with separable termsen_US
dc.typeJournal article
dc.type.dcmiText
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