DocumentCode :
3383221
Title :
Design of optimal quantizers for distributed source coding
Author :
Rebollo-Monedero, David ; Zhang, Rui ; Girod, Bernd
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fYear :
2003
fDate :
25-27 March 2003
Firstpage :
13
Lastpage :
22
Abstract :
The problem of designing optimal quantizers for distributed source coding is addressed. The generality of this formulation includes both the symmetric and asymmetric scenarios, together with a number of coding schemes, such as ideal coding achieving a rate equal to the joint conditional entropy of the quantized sources given the side information. The paper shows the optimality conditions that quantizers must satisfy, and generalizes the Lloyd algorithm for their design. Experimental results are shown for the Gaussian scalar asymmetric case.
Keywords :
Gaussian processes; entropy; rate distortion theory; source coding; vector quantisation; Gaussian scalar asymmetric case; Lagrangian rate-distortion cost function; Lloyd algorithm; Slepian-Wolf coding; codeword length; coding scheme; distributed source coding; joint conditional entropy; network source coding; optimal quantizer design; quantization index; Algorithm design and analysis; Decoding; Design optimization; Entropy; Information systems; Laboratories; Quantization; Rate-distortion; Remote sensing; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
ISSN :
1068-0314
Print_ISBN :
0-7695-1896-6
Type :
conf
DOI :
10.1109/DCC.2003.1193992
Filename :
1193992
Link To Document :
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