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dc.contributor.authorCHEN, SHen_US
dc.contributor.authorHSIEH, WMen_US
dc.date.accessioned2014-12-08T15:05:08Z-
dc.date.available2014-12-08T15:05:08Z-
dc.date.issued1991-10-01en_US
dc.identifier.issn0956-3776en_US
dc.identifier.urihttp://hdl.handle.net/11536/3670-
dc.description.abstractThe paper presents a fast codebook training algorithm for vector quantisation. It uses an elimination rule, based on triangular inequality criteria, as well as the partial distortion elimination method, to relieve the computational burden of a conventional codebook training algorithm, including a binary codeword splitting algorithm for the initial codebook and the LBG recursive algorithm. Over 95% savings in both multiplication and addition operations were achieved in the simulation of a VQ codebook training of a 'Lena' image using 16-dimensional vectors.en_US
dc.language.isoen_USen_US
dc.subjectBINARY CODEWORD SPLITTINGen_US
dc.subjectIMAGE CODINGen_US
dc.subjectLBG ALGORITHMen_US
dc.subjectVECTOR QUANTIZATIONen_US
dc.titleFAST ALGORITHM FOR VQ CODEBOOK DESIGNen_US
dc.typeArticleen_US
dc.identifier.journalIEE PROCEEDINGS-I COMMUNICATIONS SPEECH AND VISIONen_US
dc.citation.volume138en_US
dc.citation.issue5en_US
dc.citation.spage357en_US
dc.citation.epage362en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:A1991GJ01000003-
dc.citation.woscount15-
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