Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Capacity, mutual information, and coding for finite-state Markov channels
IEEE Transactions on Information Theory
Feedback capacity of finite-state machine channels
IEEE Transactions on Information Theory
Simulation-Based Computation of Information Rates for Channels With Memory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A Generalization of the Blahut–Arimoto Algorithm to Finite-State Channels
IEEE Transactions on Information Theory
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A non-controllable finite-state channel (FSC) is a finite-state channel in which the user can't control channel states. That is, the channel state of a non-controllable FSC evolves freely according to an uncontrollable probability law. Thus far, good upper bounds on capacities of general non-controllable FSCs remain unknown. Here we develop upper bounds that use delayed feedback and delayed state information, and propose dynamic programming methods to numerically evaluate the bounds.