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  2. Information theory - Wikipedia

    en.wikipedia.org/wiki/Information_theory

    Information theory is the mathematical study of the quantification, storage, and communication of information. The field was established and formalized by Claude Shannon in the 1940s, [1] though early contributions were made in the 1920s through the works of Harry Nyquist and Ralph Hartley.

  3. Claude Shannon - Wikipedia

    en.wikipedia.org/wiki/Claude_Shannon

    Claude Elwood Shannon (April 30, 1916 – February 24, 2001) was an American mathematician, electrical engineer, computer scientist, cryptographer and inventor known as the "father of information theory" and as the "father of the Information Age". [1]

  4. A Mathematical Theory of Communication - Wikipedia

    en.wikipedia.org/wiki/A_Mathematical_Theory_of...

    It was later published in 1949 as a book titled The Mathematical Theory of Communication (ISBN 0-252-72546-8), which was published as a paperback in 1963 (ISBN 0-252-72548-4). The book contains an additional article by Warren Weaver, providing an overview of the theory for a more general audience. [12]

  5. A Mind at Play - Wikipedia

    en.wikipedia.org/wiki/A_Mind_at_Play

    A Mind at Play: How Claude Shannon Invented the Information Age is a biography of Claude Shannon, an American mathematician, electrical engineer, and cryptographer known as "the father of information theory". [1] [2] The biography was written by Jimmy Soni and Rob Goodman, and published by Simon & Schuster in 2017.

  6. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    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. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. The "fundamental problem ...

  7. Noisy-channel coding theorem - Wikipedia

    en.wikipedia.org/wiki/Noisy-channel_coding_theorem

    In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel.

  8. Communication Theory of Secrecy Systems - Wikipedia

    en.wikipedia.org/wiki/Communication_Theory_of...

    In the paper, Shannon defined unicity distance, and the principles of confusion and diffusion, which are key to a secure cipher. [6] Shannon published an earlier version of this research in the formerly classified report A Mathematical Theory of Cryptography, Memorandum MM 45-110-02, Sept. 1, 1945, Bell Laboratories.

  9. History of information theory - Wikipedia

    en.wikipedia.org/wiki/History_of_information_theory

    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 storage such as CD-ROMs ...