EURASIP Journal on Wireless Communications and Networking
Signal Processing - Special section: Distributed source coding
Transmission of correlated senders over a Rayleigh fading multiple access channel
Signal Processing - Special section: Distributed source coding
Joint source-channel decoding of variable-length codes with soft information: a survey
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Universal source controlled channel decoding with nonsystematic quick-look-in turbo codes
IEEE Transactions on Communications
Distributed source coding using raptor codes for hidden Markov sources
IEEE Transactions on Signal Processing
Distributed arithmetic coding for the Slepian-Wolf problem
IEEE Transactions on Signal Processing
Optimized concatenated LDPC codes for joint source-channel coding
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
IEEE Transactions on Communications
Fast joint source-channel decoding of convolutional coded Markov sequences with Monge property
IEEE Transactions on Communications
Joint source-channel estimation using accumulated LDPC syndrome
IEEE Communications Letters
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We describe a joint source-channel scheme for modifying a turbo decoder in order to exploit the statistical characteristics of hidden Markov sources. The basic idea is to treat the trellis describing the hidden Markov source as another constituent decoder which exchanges information with the other constituent decoder blocks. The source block uses as extrinsic information the probability of the input bits that is provided by the constituent decoder blocks. On the other hand, it produces a new estimation of such a probability which will be used as extrinsic information by the constituent turbo decoders. The proposed joint source-channel decoding technique leads to significantly improved performance relative to systems in which source statistics are not exploited and avoids the need to perform any explicit source coding prior to transmission. Lack of a priori knowledge of the source parameters does not degrade the performance of the system, since these parameters can be jointly estimated with turbo decoding