An optimal distributed and adaptive source coding strategy using rate-compatible punctured convolutional codes

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 p...

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Vydané v:Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 Ročník 3; s. iii/685 - iii/688 Vol. 3
Hlavní autori: Jing Li, Alqamzi, H.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 2005
Predmet:
Channel coding
Codecs
Convolution
Convolutional codes
Decoding
Hardware
Materials science and technology
Power generation economics
Signal processing
Source coding
ISBN:9780780388741, 0780388747
ISSN:1520-6149
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Shrnutí: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.
ISBN:9780780388741
0780388747
ISSN:1520-6149
DOI:10.1109/ICASSP.2005.1415802