Computer Science – Information Theory
Scientific paper
2005-07-23
Computer Science
Information Theory
Scientific paper
10.1007/s10955-005-7576-y
The entropy of a binary symmetric Hidden Markov Process is calculated as an expansion in the noise parameter epsilon. We map the problem onto a one-dimensional Ising model in a large field of random signs and calculate the expansion coefficients up to second order in epsilon. Using a conjecture we extend the calculation to 11th order and discuss the convergence of the resulting series.
Domany Eytan
Kanter Ido
Zuk Or
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