On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings

Details On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings

2010-10-22

arxiv.org/abs/1010.4824v2

Computer Science

Information Theory

Scientific paper

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 the 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 design of optimal decentralized causal coding of correlated observations admits a separation. For Markov sources, a counterexample to a natural separation conjecture is presented. Applications in estimation and networked control problems are discussed, in the context of a linear, Gaussian setup.

Affiliated with

Also associated with

No associations

Rating

On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-115478