Joint Source/Channel Coding for Variable Length Codes
DCC '98 Proceedings of the Conference on Data Compression
On Variable Length Codes for Iterative Source/Channel Decoding
DCC '01 Proceedings of the Data Compression Conference
Joint source and channel decoding for variable length encoded turbo codes
EURASIP Journal on Advances in Signal Processing
A Method for the Correction of Garbled Words Based on the Levenshtein Metric
IEEE Transactions on Computers
Iterative joint source-channel decoding of variable-length codes using residual source redundancy
IEEE Transactions on Wireless Communications
Cross-layer forward error control for reliable transfer in wireless multimedia sensor networks
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
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We propose a trellis-based soft-input-soft-output (SISO) a posteriori probability (APP) decoding technique for variable-length coded correlated sources. This technique allows not only the (ML) sequence estimation but also the computation of bit-based reliability values. The notable feature of the proposed technique is that its calculation complexity and memory space requirement are both low. Moreover, we bring the technique of scaling extrinsic information to the field of iterative joint source-channel decoding (ISCD), and obtain fixed scaling factors (SFs) based on the extrinsic information transfer (EXIT) charts analysis. This technique obviously improves the ISCD performance with increasing neglectable complexity. Simulation results show that the proposed ISCD scheme provides a significant improvement on error protection capability for the variable-length coded correlated sources.