Iterative Joint Source-Channel Coding Techniques for Single and Multiterminal Sources in Communication Networks (2006)
Abstract / truncated to 115 words
In a communication system it results undoubtedly of great interest to compress the information generated by the data sources to its most elementary representation, so that the amount of power necessary for reliable communications can be reduced. It is often the case that the redundancy shown by a wide variety of information sources can be modelled by taking into account the probabilistic dependance among consecutive source symbols rather than the probabilistic distribution of a single symbol. These sources are commonly referred to as single or multiterminal sources "with memory" being the memory, in this latter case, the existing temporal correlation among the consecutive symbol vectors generated by the multiterminal source. It is well known that, ... toggle 7 keywordschannel coding – factor graphs – SPA – hidden markov models – burrows wheeler transform – LDPC – turbo
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