DocumentCode :
2936349
Title :
An optimal distributed and adaptive source coding strategy using rate-compatible punctured convolutional codes
Author :
Li, Jing ; Alqamzi, Hend
Author_Institution :
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA, USA
Volume :
3
fYear :
2005
fDate :
18-23 March 2005
Abstract :
A novel scheme exploiting rate-compatible punctured convolutional (RCPC) codes is proposed for distributed and adaptive source coding. The proposed scheme is based on the SF-ISF approach in (Z. Tu et al., Eurasip J. Appl. SigPro. - Special Iss. on Turbo Proc.). It is simple, general, flexible, and provenly optimal. For the class of RCPC codes that are obtained from puncturing the parity bits of a recursive systematic convolutional (RSC) mother code, it is shown that an "optimal" codec exists where a single source encoder and a single source decoder can accomodate a set of different compression rates efficiently.
Keywords :
adaptive codes; channel coding; convolutional codes; linear codes; optimisation; source coding; RCPC codes; SF-ISF method; adaptive source coding; channel coding; compression rates; convolutional mother code parity bit puncturing; optimal distributed source coding; rate-compatible linear codes; rate-compatible punctured convolutional codes; recursive systematic convolutional mother code; source decoder; source encoder; Channel coding; Codecs; Convolution; Convolutional codes; Decoding; Hardware; Materials science and technology; Power generation economics; Signal processing; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415802
Filename :
1415802
Link To Document :
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