DocumentCode :
3059567
Title :
Optimal multiresolution quantization for broadcast channels with random index assignment
Author :
Teng, Fei ; Yang, En-Hui ; Yu, Xiang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
181
Lastpage :
185
Abstract :
This paper studies the design and analysis of multiresolution vector quantization (MRVQ) for broadcast channels. Given a broadcast system with MRVQ, a random index assignment, and a coded broadcast channel, we first obtain a closed-form formula for the weighted end-to-end distortion (EED) of the system. Based on the formula, an iterative algorithm is then proposed for designing optimal MRVQ for the broadcast system. Experimental results demonstrate that multiresolution quantizers jointly designed with channel conditions by the proposed algorithm significantly reduce the weighted EED in comparison with multiresolution quantizers designed without reference to channel conditions.
Keywords :
broadcast channels; channel coding; iterative methods; vector quantisation; coded broadcast channels; end-to-end distortion; iterative algorithm; multiresolution vector quantization; random index assignment; Algorithm design and analysis; Broadcasting; Channel coding; Councils; Decoding; Iterative algorithms; Multicast algorithms; Neodymium; Source coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
Type :
conf
DOI :
10.1109/ISIT.2010.5513257
Filename :
5513257
Link To Document :
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