DocumentCode :
3278781
Title :
Entropy and channel capacity in the regenerative setup with applications to Markov channels
Author :
Sharma, Vinod ; Singh, S.K.
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
2001
fDate :
2001
Firstpage :
283
Abstract :
We obtain new entropy and mutual information formulae for regenerative stochastic processes. We use them on Markov channels to generalize the results in Goldsmith and Varaiya (1996). Also we obtain tighter bounds on capacity and better algorithms than in Goldsmith and Varaiya
Keywords :
Markov processes; channel capacity; entropy; fading channels; Markov channels; channel capacity; entropy; mutual information; regenerative setup; regenerative stochastic processes; Channel capacity; Convergence; Distributed computing; Entropy; Erbium; Fading; Feedback; Intersymbol interference; Mutual information; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
Type :
conf
DOI :
10.1109/ISIT.2001.936146
Filename :
936146
Link To Document :
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