Algorithms for Optimal Numerical Quadrature Based on Signal Class Models

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dc.citation.bibtexNametechreporten_US
dc.citation.issueNumber7915en_US
dc.citation.journalTitleRice University ECE Technical Reporten_US
dc.contributor.authorde Figueiredo, Rui J.P.en_US
dc.date.accessioned2007-10-31T00:42:20Z
dc.date.available2007-10-31T00:42:20Z
dc.date.issued1979-11-01en
dc.date.modified2004-03-16en_US
dc.date.submitted2004-03-16en_US
dc.descriptionTech Reporten_US
dc.description.abstractA framework is presented for constructing various types of numerical quadrature algorithms which take into account the a-priori known or estimated properties of the signal being processed. This is done by appropriately modeling the signal class to which such a signal belongs. Both linear and nonlinear signal class models are considered and wide use of generalized spine theory is made. For the nonlinear case, a new type of nonlinear generalized spline is defined.en_US
dc.identifier.citationR. J. de Figueiredo, "Algorithms for Optimal Numerical Quadrature Based on Signal Class Models," <i>Rice University ECE Technical Report,</i> no. 7915, 1979.
dc.identifier.urihttps://hdl.handle.net/1911/19849
dc.language.isoeng
dc.subjectNumerical quadrature*
dc.subjectnumerical integration*
dc.subjectmoments*
dc.subjectconvolution*
dc.subjectFourier transforms*
dc.subjectfilters*
dc.subjectspline functions*
dc.subjectvariational methods*
dc.subject.keywordNumerical quadratureen_US
dc.subject.keywordnumerical integrationen_US
dc.subject.keywordmomentsen_US
dc.subject.keywordconvolutionen_US
dc.subject.keywordFourier transformsen_US
dc.subject.keywordfiltersen_US
dc.subject.keywordspline functionsen_US
dc.subject.keywordvariational methodsen_US
dc.titleAlgorithms for Optimal Numerical Quadrature Based on Signal Class Modelsen_US
dc.typeReport
dc.type.dcmiText
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