Video Processing and Communications
Video Processing and Communications
Utilizing Soft Information in Decoding of Variable Length Codes
DCC '99 Proceedings of the Conference on Data Compression
Iterative Source/Channel-Decoding Using Reversible Variable Length Codes
DCC '00 Proceedings of the Conference on Data Compression
Joint Source-Channel Soft Decoding of Huffman Codes with Turbo-Codes
DCC '00 Proceedings of the Conference on Data Compression
On Variable Length Codes for Iterative Source/Channel Decoding
DCC '01 Proceedings of the Data Compression Conference
Reduced Complexity VLC Sequence Decoder
DCC '04 Proceedings of the Conference on Data Compression
Iterative joint source-channel decoding of variable-length codes using residual source redundancy
IEEE Transactions on Wireless Communications
Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
IEEE Transactions on Information Theory
Synchronization Recovery and State Model Reduction for Soft Decoding of Variable Length Codes
IEEE Transactions on Information Theory
Joint source-channel turbo decoding of entropy-coded sources
IEEE Journal on Selected Areas in Communications
Joint source-channel decoding for MPEG-4 video transmission over wireless channels
IEEE Journal on Selected Areas in Communications
Soft source decoding with applications
IEEE Transactions on Circuits and Systems for Video Technology
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Joint source-channel decoding of Variable Length Codes (VLC) for image and video transmission over wireless links is a subject of increasing interest. This paper proposes an optimum decoder of VLC sequences which exploits inherent redundancy in source data, namely the VLC syntax and source constraints. The proposed decoder is able to deliver both Maximum Likelihood optimum hard-output and soft-output solutions. The complexity of the algorithm is analyzed and a reduced complexity version of this algorithm with a slightly sub-optimal performance is proposed. An iterative joint source-channel decoding system is designed for demonstrating the performance of the proposed soft-input soft-output (SISO) decoder. Realistic contexts have been used for simulations: typical video sequences and typical radio-mobile channels.