Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
Iterative Decoding of Multiple Descriptions
DCC '99 Proceedings of the Conference on Data Compression
Analysis of Optimal Filter Banks for Multiple Description Coding
DCC '00 Proceedings of the Conference on Data Compression
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Resilient Peer-to-Peer Streaming
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
Multiple description video coding and iterative decoding of LDPCA codes with side information
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Optimal subband filter banks for multiple description coding
IEEE Transactions on Information Theory
Optimal filter banks for multiple description coding: analysis and synthesis
IEEE Transactions on Information Theory
On dualities in multiterminal coding problems
IEEE Transactions on Information Theory
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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.