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EURASIP Journal on Wireless Communications and Networking
Joint source-channel decoding of variable-length codes with soft information: a survey
EURASIP Journal on Applied Signal Processing
Soft and joint source-channel decoding of quasi-arithmetic codes
EURASIP Journal on Applied Signal Processing
Error correcting arithmetic coding for JPEG 2000: memory and performance analysis
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
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IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Communications
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IEEE Transactions on Signal Processing
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WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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Computer Communications
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The paper addresses the issue of robust and joint source-channel decoding of arithmetic codes. We first analyze dependencies between the variables involved in arithmetic coding by means of the Bayesian formalism. This provides a suitable framework for designing a soft decoding algorithm that provides high error-resilience. It also provides a natural setting for "soft synchronization", i.e., to introduce anchors favoring the likelihood of "synchronized" paths. In order to maintain the complexity of the estimation within a realistic range, a simple, yet efficient, pruning method is described. The algorithm can be placed in an iterative source-channel decoding structure, in the spirit of serial turbo codes. Models and algorithms are then applied to context-based arithmetic coding widely used in practical systems (e.g., JPEG-2000). Experimentation results with both theoretical sources and with real images coded with JPEG-2000 reveal very good error resilience performances.