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  2. Information theory - Wikipedia

    en.wikipedia.org/wiki/Information_theory

    He came to be known as the "father of information theory". [24] [25] [26] Shannon outlined some of his initial ideas of information theory as early as 1939 in a letter to Vannevar Bush. [26] Prior to this paper, limited information-theoretic ideas had been developed at Bell Labs, all implicitly assuming events of equal probability.

  3. Channel capacity - Wikipedia

    en.wikipedia.org/wiki/Channel_capacity

    Information theory, developed by Claude E. Shannon in 1948, defines the notion of channel capacity and provides a mathematical model by which it may be computed. The key result states that the capacity of the channel, as defined above, is given by the maximum of the mutual information between the input and output of the channel, where the ...

  4. 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 ...

  5. A Mathematical Theory of Communication - Wikipedia

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

    It has tens of thousands of citations, being one of the most influential and cited scientific papers of all time, [6] as it gave rise to the field of information theory, with Scientific American referring to the paper as the "Magna Carta of the Information Age", [7] while the electrical engineer Robert G. Gallager called the paper a "blueprint ...

  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.

  7. Information content - Wikipedia

    en.wikipedia.org/wiki/Information_content

    The Shannon information is closely related to entropy, which is the expected value of the self-information of a random variable, quantifying how surprising the random variable is "on average". This is the average amount of self-information an observer would expect to gain about a random variable when measuring it.

  8. A Mind at Play - Wikipedia

    en.wikipedia.org/wiki/A_Mind_at_Play

    Shannon was born in Petoskey, Michigan in 1916 and grew up in Gaylord, Michigan. [6] He is well known for founding digital circuit design theory in 1937, when—as a 21-year-old master's degree student at MIT—he wrote his thesis demonstrating that electrical applications of Boolean algebra could construct any logical numerical relationship. [7]

  9. IEEE International Symposium on Information Theory - Wikipedia

    en.wikipedia.org/wiki/IEEE_International...

    Every year and during the course of a week, researchers in the field of information theory gather to share their work in a series of presentations. The main event of the symposium is the Shannon Lecture, which is given by the recipient of the prestigious Claude E. Shannon Award of the year; the year's awardee was revealed during the previous ISIT.