Basic Vector Space Methods in Signal and Systems Theory

dc.contributor.authorBurrus, C. Sidney
dc.date.accessioned2022-05-03T14:33:28Z
dc.date.available2022-05-03T14:33:28Z
dc.date.issued2013-01-10
dc.description.abstractLinear algebra, vector space methods, and functional analysis are a powerful setting for many topics in engineering, science (including social sciences), and business. This collection starts with the simple idea of a matrix times a vector and develops tools and interpretations for many signal processing and system analysis and design methods.
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dc.digitization.specificationsContent was converted from legacy website (HTML) to accessible (tagged and OCRd) PDF format.
dc.format.extent40 pp
dc.identifier.citationBurrus, C. Sidney. "Basic Vector Space Methods in Signal and Systems Theory." (2013) Rice University: <a href="https://hdl.handle.net/1911/112291">https://hdl.handle.net/1911/112291</a>.
dc.identifier.digitalcol10636-FINAL
dc.identifier.urihttps://hdl.handle.net/1911/112291
dc.language.isoeng
dc.publisherRice University
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 3.0)
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectMathematics and Statistics
dc.subjectBusiness
dc.subjectScience and Technology
dc.subjectSocial Sciences
dc.subject.keywordlinear algebra
dc.subject.keywordmatrix
dc.subject.keywordsignal
dc.subject.keywordsignal and system
dc.subject.keywordsignal processing
dc.subject.keywordsystem
dc.subject.keywordvector
dc.subject.keywordvector space
dc.titleBasic Vector Space Methods in Signal and Systems Theory
dc.type.dcmiText
dc.type.genreInstructional and educational works
dcterms.accessRightsfreely accessible, openly licensed text
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