DocumentCode :
3428015
Title :
Achieving the Rate-Distortion Bound with Linear Codes
Author :
Chen, Jun ; He, Da-Ke ; Jagmohan, Ashish
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights
fYear :
2007
fDate :
2-6 Sept. 2007
Firstpage :
662
Lastpage :
667
Abstract :
We show that linear codes can achieve the rate- distortion bound of a discrete memoryless source with arbitrary distortion measure if the size of finite field is sufficiently large. An alternative approach based on multilevel quantization is proposed. The optimality of this approach and the sufficiency of binary linear codes are established. Linear codes are also shown to be able to achieve a simplified version of the El Gamal-Cover (EGC) region for multiple description coding.
Keywords :
binary codes; distortion; linear codes; quantisation (signal); El Gamal-cover region; arbitrary distortion; binary linear codes; discrete memoryless source; multilevel quantization; multiple description coding; rate-distortion bound; Channel coding; Decoding; Distortion measurement; Galois fields; Linear code; Nonlinear distortion; Quantization; Rate-distortion; Size measurement; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2007. ITW '07. IEEE
Conference_Location :
Tahoe City, CA
Print_ISBN :
1-4244-1564-0
Electronic_ISBN :
1-4244-1564-0
Type :
conf
DOI :
10.1109/ITW.2007.4313153
Filename :
4313153
Link To Document :
بازگشت