Reversible Variable Length Codes for Efficient and Robust Image and Video Coding
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-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
Optimal puncturing ratios and energy allocation for multiple parallel concatenated codes
IEEE Transactions on Information Theory
Iterative joint source-channel decoding of variable-length codes using residual source redundancy
IEEE Transactions on Wireless Communications
Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
IEEE Transactions on Information Theory
Extrinsic information transfer functions: model and erasure channel properties
IEEE Transactions on Information Theory
On the iterative approximation of optimal joint source-channel decoding
IEEE Journal on Selected Areas in Communications
Joint source-channel turbo decoding of entropy-coded sources
IEEE Journal on Selected Areas in Communications
PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder
IEEE Transactions on Image Processing
Soft source decoding with applications
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Communications
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We present a novel variable-length code (VLC) construction which exhibits an inherent error correcting capability due to the exclusive presence of codewords with even Hamming weight. Besides error robustness, the proposed code construction features a similar codeword length distribution as Golomb-Rice codes, and therefore, in particular for sources with exponentially distributed symbols, has good source compression properties at the same time. We show that in a source channel coding framework with outer source encoding, inner channel encoding with a recursive convolutional code, and iterative decoding the proposed VLC construction can lead to significant performance improvements compared to fixed-length source encoding with optimized mappings. In particular, simulation results for the AWGN channel verify that for Gauss-Markov sources a performance close to the theoretical limit can be achieved.