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Chase-Like Decoding of Arithmetic Codes with Applications

Chase-Like Decoding of Arithmetic Codes with Applications

Amin Zribi, Sonia Zaibi, Ramesh Pyndiah, Ammar Bouallègue
Copyright: © 2011 |Volume: 1 |Issue: 1 |Pages: 14
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781613506073|DOI: 10.4018/ijcvip.2011010103
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MLA

Zribi, Amin, et al. "Chase-Like Decoding of Arithmetic Codes with Applications." IJCVIP vol.1, no.1 2011: pp.27-40. http://doi.org/10.4018/ijcvip.2011010103

APA

Zribi, A., Zaibi, S., Pyndiah, R., & Bouallègue, A. (2011). Chase-Like Decoding of Arithmetic Codes with Applications. International Journal of Computer Vision and Image Processing (IJCVIP), 1(1), 27-40. http://doi.org/10.4018/ijcvip.2011010103

Chicago

Zribi, Amin, et al. "Chase-Like Decoding of Arithmetic Codes with Applications," International Journal of Computer Vision and Image Processing (IJCVIP) 1, no.1: 27-40. http://doi.org/10.4018/ijcvip.2011010103

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Abstract

Motivated by recent results in Joint Source/ Channel (JSC) coding and decoding, this paper addresses the problem of soft input decoding of Arithmetic Codes (AC). A new length-constrained scheme for JSC decoding of these codes is proposed based on the Maximum a posteriori (MAP) sequence estimation criterion. The new decoder, called Chase-like arithmetic decoder is supposed to know the source symbol sequence and the compressed bit-stream lengths. First, Packet Error Rates (PER) in the case of transmission on an Additive White Gaussian Noise (AWGN) channel are investigated. Compared to classical arithmetic decoding, the Chase-like decoder shows significant improvements. Results are provided for Chase-like decoding for image compression and transmission on an AWGN channel. Both lossy and lossless image compression schemes were studied. As a final application, the serial concatenation of an AC with a convolutional code was considered. Iterative decoding, performed between the two decoders showed substantial performance improvement through iterations.

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