The entropy rate of a finite-state hidden Markov model can be estimated by forward sum-product trellis processing (i.e., the forward recursion of the Baum-Welch/BCJR algorithm) of simulated model output data. This can be used to compute information rates of binary-input AWGN channels with memory.
By: D. Arnold, H.-A. Loeliger
Published in: International Conference on Communications 2001 , IEEE in 2001
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