Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/455734
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dc.coverage.spatial
dc.date.accessioned2023-01-31T09:55:45Z-
dc.date.available2023-01-31T09:55:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/455734-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSPARSE APPROXIMATION ALGORITHMS AND THEIR APPLICATION to IMAGE COMPRESSION
dc.title.alternative
dc.creator.researcherArabinda Sahoo
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guidePranati Das
dc.publisher.placeBhubaneshwar
dc.publisher.universityUtkal University
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered2014
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File141.42 kBAdobe PDFView/Open
02_prelim pages.pdf1.22 MBAdobe PDFView/Open
03_contents.pdf436.55 kBAdobe PDFView/Open
05_chapter1.pdf2.68 MBAdobe PDFView/Open
06_chapter2.pdf8.52 MBAdobe PDFView/Open
07_chapter3.pdf8.52 MBAdobe PDFView/Open
08_chapter4.pdf5.23 MBAdobe PDFView/Open
09_chapter5.pdf7.26 MBAdobe PDFView/Open
10_chapter6.pdf904.58 kBAdobe PDFView/Open
11_annexures.pdf3.46 MBAdobe PDFView/Open
80_recommendation.pdf141.42 kBAdobe PDFView/Open


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