We address distributed source coding with decoder side information, when the decoder observes the source through a noisy channel. Existing approaches employ syndromeor parity-based channel codes. We propose a new approach based on distributed arithmetic coding (DAC).We introduce a DAC with forbidden symbol, which allows to tune the redundancy according to the amount of channel noise. We propose a novel sequential decoder that employs the known side information to decode the corrupted codeword. Experimental results show that the proposed scheme is better than parity-based turbo codes at relatively short block lengths.
Distributed joint source-channel arithmetic coding / Grangetto, Marco; Magli, Enrico; Olmo, Gabriella. - (2010), pp. 3717-3720. (Intervento presentato al convegno IEEE International Conference on Image Processing nel 2010) [10.1109/ICIP.2010.5652684].
Distributed joint source-channel arithmetic coding
GRANGETTO, MARCO;MAGLI, ENRICO;OLMO, Gabriella
2010
Abstract
We address distributed source coding with decoder side information, when the decoder observes the source through a noisy channel. Existing approaches employ syndromeor parity-based channel codes. We propose a new approach based on distributed arithmetic coding (DAC).We introduce a DAC with forbidden symbol, which allows to tune the redundancy according to the amount of channel noise. We propose a novel sequential decoder that employs the known side information to decode the corrupted codeword. Experimental results show that the proposed scheme is better than parity-based turbo codes at relatively short block lengths.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2416524
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