DocumentCode :
1134230
Title :
Recursively indexed quantization of memoryless sources
Author :
Sayood, Khalid ; Na, Sangsin
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
Volume :
38
Issue :
5
fYear :
1992
fDate :
9/1/1992 12:00:00 AM
Firstpage :
1602
Lastpage :
1609
Abstract :
A recursively indexed scalar quantizer that performs as well as high-dimensional vector quantizers for several important sources, without the attendant complexity, is presented. The recursively indexed quantizer provides a simple technique, both in terms of design and operation, for use with entropy coding. It also provides a simple quantization technique for use in noisy channel conditions where a variable length code would be inappropriate but performance greater than that provided by Lloyd-Max quantizers is desired
Keywords :
encoding; entropy coding; memoryless sources; noisy channel conditions; recursively indexed quantisation; scalar quantizer; source coding; Bayesian methods; Binary sequences; Counting circuits; Entropy coding; Estimation theory; Position measurement; Quantization; Source coding; Speech recognition; Statistics; Testing;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.149516
Filename :
149516
Link To Document :
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