Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/153282
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dc.coverage.spatialElectronics and Telecommunication
dc.date.accessioned2017-06-08T09:34:00Z-
dc.date.available2017-06-08T09:34:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/153282-
dc.description.abstractAbstract available newline newline
dc.format.extentxix, 132p., xlii
dc.languageEnglish
dc.relationNo. of references 132
dc.rightsuniversity
dc.titleThe compression and decompression of images using vector quantization by self organizing kohonen artificial neural networks
dc.title.alternative-
dc.creator.researcherDandawate, Yogesh Haribhau
dc.subject.keywordEuclidean
dc.subject.keywordCodebooks
dc.subject.keywordHardware
dc.subject.keywordAlgorithm
dc.subject.keywordMukherji
dc.description.noteBibliography p. xxxii-xlii, Appendix p. xx-xxxi
dc.contributor.guideJoshi, M A
dc.publisher.placePune
dc.publisher.universitySavitribai Phule Pune University
dc.publisher.institutionCollege of Engineering Pune
dc.date.registered2002
dc.date.completed2008
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:College of Engineering Pune

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01_title.pdf24.54 kBAdobe PDFView/Open
/02_certificate.pdf293.41 kBAdobe PDFView/Open
02_certificate.pdf293.41 kBAdobe PDFView/Open
/03_declaration.pdf907.84 kBAdobe PDFView/Open
03_declaration.pdf907.84 kBAdobe PDFView/Open
04_acknowledgements.pdf61.74 kBAdobe PDFView/Open
05_table of content.pdf99.75 kBAdobe PDFView/Open
06_abstract.pdf111.07 kBAdobe PDFView/Open
07_list of tables.pdf73.16 kBAdobe PDFView/Open
08_list of figures.pdf179.72 kBAdobe PDFView/Open
09_abbreviations.pdf49.7 kBAdobe PDFView/Open
10_chapter 1.pdf912.75 kBAdobe PDFView/Open
11_chapter 2.pdf1.36 MBAdobe PDFView/Open
12_chapter 3.pdf2.3 MBAdobe PDFView/Open
13_chapter 4.pdf11.03 MBAdobe PDFView/Open
14_chapter 5.pdf4.03 MBAdobe PDFView/Open
15_chapter 6.pdf338.14 kBAdobe PDFView/Open
16_appendix.pdf2.41 MBAdobe PDFView/Open
17_references.pdf1.11 MBAdobe PDFView/Open


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