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CORR
2006
Springer
122views Education» more  CORR 2006»
13 years 4 months ago
Derivatives of Entropy Rate in Special Families of Hidden Markov Chains
Consider a hidden Markov chain obtained as the observation process of an ordinary Markov chain corrupted by noise. Zuk, et. al. [13, 14] showed how, in principle, one can explicit...
Guangyue Han, Brian Marcus
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 4 months ago
Asymptotics of Entropy Rate in Special Families of Hidden Markov Chains
We generalize a result in [8] and derive an asymptotic formula for entropy rate of a hidden Markov chain around a "weak Black Hole". We also discuss applications of the ...
Guangyue Han, Brian Marcus
CORR
2010
Springer
122views Education» more  CORR 2010»
12 years 11 months ago
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
Guangyue Han, Brian H. Marcus