DocumentCode
397346
Title
Characterizing optimum (input, output) processes for finite-state channels with feedback
Author
Berger, Toby ; Ying, Yuzheng
Author_Institution
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fYear
2003
fDate
29 June-4 July 2003
Firstpage
117
Abstract
We treat a finite-state channel whose state is the most recent channel output. Markovian characterizations of mutual-information-rate-maximizing constrained (input, output) processes are derived. The study was motivated by a mathematical model of brain function which is briefly discussed.
Keywords
Markov processes; brain models; encoding; feedback; feedforward neural nets; mathematical analysis; telecommunication channels; Markovian characterization; brain function; finite-state channel; mathematical model; mutual-information-rate-maximizing constrained process; Brain modeling; Mathematical model; Mutual information; Neurofeedback; Neurons; Output feedback; Probability distribution; State estimation; State feedback; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN
0-7803-7728-1
Type
conf
DOI
10.1109/ISIT.2003.1228131
Filename
1228131
Link To Document