DocumentCode :
2455161
Title :
Hard-decoding vector quantization using Bayes estimator for Rayleigh channel
Author :
Ho, Keang-Po
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fYear :
1998
fDate :
29 Sep-2 Oct 1998
Firstpage :
367
Lastpage :
371
Abstract :
Vector quantization is decoded using a Bayes estimator. The hard-decision Bayes estimator is used to reduce the complexity involving the evaluation of transition probabilities for the soft-decision Bayes estimator. In the range of low to moderate average channel signal-to-noise ratio, the hard-decision Bayes estimator based source decoder can achieve more than 1 dB improvement over the conventional mapping based source decoder. With great reduction in complexity, the hard-decision Bayes estimator can achieve a performance that is just about 0.4 dB below the optimal soft-decision Bayes estimator
Keywords :
Bayes methods; Rayleigh channels; decoding; estimation theory; source coding; vector quantisation; Bayes estimator; Rayleigh channel; channel signal-to-noise ratio; complexity; hard-decoding vector quantization; soft-decision Bayes estimator; source decoder; transition probabilities; Bit error rate; Channel coding; Data compression; Decoding; Delay; Design optimization; Noise robustness; Rayleigh channels; Transmitters; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems, and Electronics, 1998. ISSSE 98. 1998 URSI International Symposium on
Conference_Location :
Pisa
Print_ISBN :
0-7803-4900-8
Type :
conf
DOI :
10.1109/ISSSE.1998.738099
Filename :
738099
Link To Document :
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