Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/129505
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dc.contributor.authorMark A. Davenport
dc.date.accessioned2017-04-30T13:30:13Z-
dc.date.available2017-04-30T13:30:13Z-
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/123456789/129505-
dc.description.abstractThis course provides an overview of discrete-time signal processing from a vector space perspective. Topics will include sampling, filter design, multirate signal processing and filterbanks, Fourier and wavelet analysis, subspace methods, and a variety of topics relating to inverse problems and "least-squares signal processing''.
dc.language.isoeng
dc.publisherRice University
dc.relation.urihttp://cnx.org/contents/6b2edc73-c5f4-4bd7-ba73-3bea3d9396ab@4.2/Digital_Signal_Processing
dc.rights.uriCreative Commons Attribution License ( 3.0)
dc.sourceopenstax cnx
dc.subject.classificationMathematics and Statistics
dc.subject.classificationScience and Technology
dc.titleDigital Signal Processing
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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