DCC '02 Proceedings of the Data Compression Conference
Joint source-channel decoding of variable-length codes with soft information: a survey
EURASIP Journal on Applied Signal Processing
Iterative source-channel decoding: improved system design using EXIT charts
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
An efficient variable-length code construction foriterative source-channel decoding
IEEE Transactions on Communications
Iterative source-channel decoder using symbol-level extrinsic information
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
A linear encoding approach to index assignment in lossy source-channel coding
IEEE Transactions on Information Theory
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Joint source-channel decoding is formulated as an estimation problem. The optimal solution is stated and it is shown that it is not feasible in many practical systems due to its complexity. Therefore, a novel iterative procedure for the approximation of the optimal solution is introduced, which is based on the principle of iterative decoding of turbo codes. New analytical expressions for different types of information in the optimal algorithm are used to derive the iterative approximation. A direct comparison of the performance of the optimal algorithm and its iterative approximation is given for a simple transmission system with “short” channel codewords. Furthermore, the performance of iterative joint source-channel decoding is investigated for a more realistic system