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• W2951571670 abstract "The optimal causal coding of a partially observed Markov process is studied, where the cost to be minimized is a bounded, non-negative, additive, measurable single-letter function of the source and the receiver output. A structural result is obtained extending Witsenhausen's and Walrand-Varaiya's structural results on optimal real-time coders to a partially observed setting. The decentralized (multi-terminal) setup is also considered. For the case where the source is an i.i.d. process, it is shown that the optimal decentralized causal coding of correlated observations problem admits a solution which is memoryless. For Markov sources, a counterexample to a natural separation conjecture is presented." @default.
• W2951571670 created "2019-06-27" @default.
• W2951571670 creator A5005401257 @default.
• W2951571670 date "2010-10-22" @default.
• W2951571670 modified "2023-09-27" @default.
• W2951571670 title "On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings" @default.
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