Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 170924 10 pages doi 2009 170924 Research Article Multiple Description Coding with Side Information Practical Scheme and Iterative Decoding Olivier Crave EURASIP Member 1 2 Christine Guillemot EURASIP Member 1 and Beatrice Pesquet-Popescu2 1 L Institut de recherche en informatique et systemes aléatoires IRISA INRIA Campus Universitaire de Beaulieu 35042 Rennes Cedex France 2 TELECOM ParisTech Signal and Image Processing Department 46 rue Barrault 75634 Paris Cedex 13 France Correspondence should be addressed to Olivier Crave Received 11 December 2008 Revised 9 March 2009 Accepted 5 May 2009 Recommended by Kenneth Barner Multiple description coding MDC with side information SI at the receiver is particularly relevant for robust transmission in sensor networks where correlated data is being transmitted to a common receiver as well as for robust video compression. The rate-distortion region for this problem has been established in Vaishampayan 1993 . Here we focus on the design of a practical MDC scheme with SI at the receiver. It builds upon both MDC principles and Slepian-Wolf SW coding principles. The input source is first quantized with a multiple description scalar quantizer MDSQ which introduces redundancy or correlation in the transmitted streams in order to take advantage of the path diversity. The resulting sequences of indexes are SW encoded that is separately encoded and jointly decoded. While the first step MDSQ plays the role of a channel code the second one SW coding plays the role of a source code compressing the sequences of quantized indexes. In a second step the cross-decoding of the two descriptions is proposed. This allows us to account for both the correlation with the SI as well as the correlation between the two descriptions. Copyright 2009 Olivier Crave et al. This is an open access article distributed under the
