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CORR
2006
Springer
122views Education» more  CORR 2006»
13 years 5 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 5 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»
13 years 8 days 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