Index assignment in vector quantisation for channels with memory

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Chang, WW	en_US
dc.contributor.author	Hsu, HI	en_US
dc.date.accessioned	2014-12-08T15:42:21Z	-
dc.date.available	2014-12-08T15:42:21Z	-
dc.date.issued	2002-06-01	en_US
dc.identifier.issn	1350-245X	en_US
dc.identifier.uri	http://dx.doi.org/10.1049/ip-vis:20020366	en_US
dc.identifier.uri	http://hdl.handle.net/11536/28759	-
dc.description.abstract	The study presents a formulation of a Hadamard framework for analysing the vector quantisation over channels with memory. In seeking faster response, classes of index assignments are defined in terms of the Hadamard transform of channel transition probabilities. An index assignment algorithm is developed that achieves high robustness against channel errors, and its performance in vector quantisation of Gauss-Markov sources under noisy channel conditions is illustrated.	en_US
dc.language.iso	en_US	en_US
dc.title	Index assignment in vector quantisation for channels with memory	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1049/ip-vis:20020366	en_US
dc.identifier.journal	IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING	en_US
dc.citation.volume	149	en_US
dc.citation.issue	3	en_US
dc.citation.spage	162	en_US
dc.citation.epage	167	en_US
dc.contributor.department	電信工程研究所	zh_TW
dc.contributor.department	Institute of Communications Engineering	en_US
dc.identifier.wosnumber	WOS:000177714500005	-
dc.citation.woscount	0	-
顯示於類別：	期刊論文

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