1. Shodhbhagirathi @ IITR
  2. ELECTRONICS AND COMMUNICATION ENGINEERING (FORMERLY ELECTRONICS & COMPUTER ENGINEERING)
  3. MASTERS' THESES (E & C)
Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/9324
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dc.contributor.authorShrotriya, Abha-
dc.date.accessioned2014-11-19T07:19:02Z-
dc.date.available2014-11-19T07:19:02Z-
dc.date.issued1993-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/9324-
dc.guideKumar, Arun-
dc.guideGautam, Krishan-
dc.description.abstractVECTOR QUANTIZATION is a. very powerful technique for data compression. It is intrinsically superior to predictive coding, transform coding and other suboptimal procedures, since it achieves optimal rate distortion performance. In this dissertation various Vector quantization techniques have been discussed in detail. Software simulation of Pull search memory- less vector qua.ntizer has been described. A performance evaluation for this Full search memory-less vector qua.ntizer has also been presenteden_US
dc.language.isoenen_US
dc.subjectELECTRONICS AND COMPUTER ENGINEERINGen_US
dc.subjectVECTOR QUANTIZATION TECHNIQUESen_US
dc.subjectIMAGE DATA COMPRESSIONen_US
dc.subjectSOFTWARE SIMULATIONen_US
dc.titleIMAGE DATA COMPRESSION USING VECTOR QUANTIZATION TECHNIQUFsen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number245773en_US
Appears in Collections:MASTERS' THESES (E & C)

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