Utilizing Soft Information in Decoding of Variable Length Codes
DCC '99 Proceedings of the Conference on Data Compression
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IEEE Transactions on Information Theory
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IEEE Journal on Selected Areas in Communications
Stochastic channel-adaptive rate control for wireless video transmission
Pattern Recognition Letters - Video computing
Iterative decoding of differentially space-time coded multiple descriptions of images
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Computation of posterior marginals on aggregated state models for soft source decoding
IEEE Transactions on Communications
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In this paper we utilize both the implicit residual source correlation and the explicit redundancy from a forward-error-correction (FEC) scheme for the error protection of packetized variable-length encoded source indices. The implicit source correlation is exploited in a novel symbol-based soft-input a-posteriori probability (APP) decoder, which leads to an optimal decoding process in combination with a mean-squares or maximum a-posteriori probability estimation of the reconstructed source signal. When additionally the variable-length encoded source data is protected by channel codes, an iterative source-channel decoder can be obtained in the same way as for serially concatenated codes, where the outer constituent decoder is replaced by the proposed APP source decoder. Simulation results show that by additionally considering the correlations between the variable-length encoded source indices the error-correction performance can be highly increased.