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