Utilizing Soft Information in Decoding of Variable Length Codes
DCC '99 Proceedings of the Conference on Data Compression
Joint Source/Channel Coding for Variable Length Codes
DCC '98 Proceedings of the Conference on Data Compression
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Stochastic channel-adaptive rate control for wireless video transmission
Pattern Recognition Letters - Video computing
Joint source-channel decoding of variable-length codes with soft information: a survey
EURASIP Journal on Applied Signal Processing
Joint source and channel decoding for variable length encoded turbo codes
EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Communications
IEEE Transactions on Communications
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We present a new method for using a priori information at a bit level in the decoding of Huffman codes. Its basic principle is the computation and use of the bit probabilities derived from the symbol probabilities of Huffman codes. Thus, we obtain a joint source-channel decoding algorithm, which takes advantage of this a priori knowledge. Even better performances are obtained when a Turbo-Code like iterative decoding is carried out. Compared to separate decoding systems, the gain in signal to noise ratio varies from 0.5 up to 1 dB with an added complexity which is relatively limited.