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dc.contributor.authorHsu, HLen_US
dc.contributor.authorChang, WWen_US
dc.contributor.authorLiu, XBen_US
dc.contributor.authorKoh, SNen_US
dc.date.accessioned2014-12-08T15:40:17Z-
dc.date.available2014-12-08T15:40:17Z-
dc.date.issued2003-10-01en_US
dc.identifier.issn0916-8532en_US
dc.identifier.urihttp://hdl.handle.net/11536/27507-
dc.description.abstractAn approach to minimum mean-squared error (MMSE) decoding for vector quantization over channels with memory is presented. The decoder is based on the Gilbert channel model that allows the exploitation of both intra- and inter-block correlation of bit error sequences. We also develop a recursive algorithm for computing the a posteriori probability of a transmitted index sequence, and illustrate its performance in quantization of Gauss-Markov sources under noisy channel conditions.en_US
dc.language.isoen_USen_US
dc.subjectMMSE decodingen_US
dc.subjectvector quantizationen_US
dc.subjectGilbert channelen_US
dc.titleMemory-enhanced MMSE decoding in vector quantizationen_US
dc.typeArticleen_US
dc.identifier.journalIEICE TRANSACTIONS ON INFORMATION AND SYSTEMSen_US
dc.citation.volumeE86Den_US
dc.citation.issue10en_US
dc.citation.spage2218en_US
dc.citation.epage2222en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000185838900032-
dc.citation.woscount1-
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