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United States. " A Mathematical Theory of Communication " is an article by mathematician Claude E. Shannon published in Bell System Technical Journal in 1948. [1][2][3][4] It was renamed The Mathematical Theory of Communication in the 1949 book of the same name, [5] a small but significant title change after realizing the generality of this work.
The Shannon–Weaver model is one of the earliest and most influential models of communication. [2][3][4] It was initially published by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication". [5] The model was further developed together with Warren Weaver in their co-authored 1949 book The Mathematical Theory of Communication ...
The book The Mathematical Theory of Communication [61] reprints Shannon's 1948 article and Warren Weaver's popularization of it, which is accessible to the non-specialist. Weaver pointed out that the word "information" in communication theory is not related to what you do say, but to what you could say.
Information theory. Information theory is the mathematical study of the quantification, storage, and communication of information. The field was established and put on a firm footing by Claude Shannon in the 1940s, [1] though early contributions were made in the 1920s through the works of Harry Nyquist and Ralph Hartley.
When Claude Shannon's 1948 articles on communication theory were republished in 1949 as The Mathematical Theory of Communication, the book also republished a much shorter article authored by Weaver, [4] which discusses the implications of Shannon's more technical work for a general audience.
Many models of communication include the idea that a sender encodes a message and uses a channel to transmit it to a receiver. Noise may distort the message along the way. The receiver then decodes the message and gives some form of feedback. [1] Models of communication simplify or represent the process of communication.
Development since 1948. The publication of Shannon's 1948 paper, "A Mathematical Theory of Communication", in the Bell System Technical Journal was the founding of information theory as we know it today. Many developments and applications of the theory have taken place since then, which have made many modern devices for data communication and ...
Generally, information entropy is the average amount of information conveyed by an event, when considering all possible outcomes. The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", [2][3] and is also referred to as Shannon entropy.