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Recent results in information theory

Published online by Cambridge University Press:  14 July 2016

Samuel Kotz
Samuel Kotz*
Affiliation:
University of Toronto
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Information theory, in the strict sense, is a rapidly developing branch of probability theory originating from a paper by Claude E. Shannon in the Bell System Technical Journal in 1948,in which anew mathematical model ofcommunications systems was proposed and investigated.

One of the central innovations of this model was in regarding the prime components of a communications system (the source of messages and the communication channel) as probabilistic entities. Shannon also proposed a quantitative measure of the amount of information based on his notion of entropy and proved the basic theorem of this theory concerning the possi bility of reliable transmission of information over a particular class of noisy channels.

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Review Paper
Information
Journal of Applied Probability , Volume 3 , Issue 1 , June 1966, pp. 1 - 93
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Copyright © Sheffield: Applied Probability Trust 

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