Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary form only given. Most current distributed joint source-channel coding (DJSCC) work focus on sources without memory, like i.i.d sources.  consider a general scenario where the sources are not only correlated with each other but also have memory. In particular,  design a constrained distributed joint source-channel decoder (C-DJSCD) for the optimal variable length multiple access source code (MASC) encoded sources for the symmetric distributed coding scenario. The proposed decoder is based on maximum a posteriori probability (MAP) estimation.
['Qingyu Chen', 'K. P. Subbalakshmi']
I am writing a research paper on a idea Distributed joint source-channel decoding for correlated Markov sources
[{"from": "human", "value": "I am writing a research paper on a idea Distributed joint source-channel decoding for correlated Markov sources"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary form only given. Most current distributed joint source-channel coding (DJSCC) work focus on sources without memory, like i.i.d sources.  consider a general scenario where the sources are not only correlated with each other but also have memory. In particular,  design a constrained distributed joint source-channel decoder (C-DJSCD) for the optimal variable length multiple access source code (MASC) encoded sources for the symmetric distributed coding scenario. The proposed decoder is based on maximum a posteriori probability (MAP) estimation."}]