Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3471
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dc.contributorKrim, Hamid.-
dc.contributorPesquet, J.-C.-
dc.contributorSchick, Ä°rvin C.-
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:43:35Z-
dc.date2003-04-29T15:43:35Z-
dc.date1998-
dc.date.accessioned2013-06-04T16:17:52Z-
dc.date.available2013-06-04T16:17:52Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3471-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionH. Krim, J.-C. Pesquet and I.C. Schick.-
dc.descriptionTitle from caption. "April, 1998"--Cover.-
dc.descriptionIncludes bibliographical references (leaf [4]).-
dc.descriptionSupported in part by the Air Force Office of Scientific Research F49620-98-1-0349-
dc.format[4] leaves-
dc.format452810 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherLaboratory for Information and Decision Systems, Massachusetts Institute of Technology-
dc.relationLIDS-P ; 2416-
dc.subjectTK7855.M41 E3845 no.2416-
dc.titleParsimony and wavelet methods for denoising-
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