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dc.contributor.authorStewart, G. W.en_US
dc.date.accessioned2004-05-31T22:21:24Z
dc.date.available2004-05-31T22:21:24Z
dc.date.created1990-09en_US
dc.date.issued1998-10-15en_US
dc.identifier.urihttp://hdl.handle.net/1903/552
dc.description.abstractThe singular value decomposition has a number of applications in digital signal processing. However, the the decomposition must be computed from a matrix consisting of both signal and noise. It is therefore important to be able to assess the effects of the noise on the singular values and singular vectors\,---\,a problem in classical perturbation theory. In this paper we survey the perturbation theory of the singular value decomposition. (Also cross-referenced as UMIACS-TR-90-124) Appeared in SVD and Signal Processing, II, R. J. Vacarro ed., Elsevier, Amsterdam, 1991.en_US
dc.format.extent180989 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-2539en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-90-124en_US
dc.titlePerturbation Theory for the Singular Value Decompositionen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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