Title :
Distributed joint source-channel arithmetic coding
Author :
Grangetto, Marco ; Magli, Enrico ; Olmo, Gabriella
Author_Institution :
Dipt. di Inf., Univ. degli Studi di Torino, Torino, Italy
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.
Keywords :
arithmetic codes; combined source-channel coding; parity check codes; sequential decoding; DAC; channel coding; channel noise; distributed arithmetic coding; joint source-channel coding; parity-based channel codes; sequential decoder; Bit error rate; Decoding; Joints; Noise measurement; Turbo codes;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652684