Iterative decoding of differentially space-time coded multiple descriptions of images
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Resource-scalable joint source-channel MAP and MMSE estimation of multiple descriptions
IEEE Transactions on Signal Processing
Multiple description coding with side information: practical scheme and iterative decoding
EURASIP Journal on Advances in Signal Processing
Multiple-description iterative coding image watermarking
Digital Signal Processing
Multiple description quantizer design for multiple-antenna systems with MAP detection
IEEE Transactions on Communications
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This paper considers the transmission of multiple descriptions over noisy channels rather than the on-off channels that are traditionally considered. We introduce the use of iterative decoding techniques similar to those used in "turbo" decoding to decode multiple correlated descriptions transmitted over a noisy channel. For a given transmission rate per channel and a given channel state, the efficacy of iterative decoding depends on the correlatedness of the two descriptions produced by the multiple description encoder. We demonstrate that there is an optimal amount of redundancy or correlation for a given channel state. Hence, multiple description codes may also be viewed as joint source-channel codes.