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30 de abr. de 2024 · Claude Shannon (born April 30, 1916, Petoskey, Michigan, U.S.—died February 24, 2001, Medford, Massachusetts) was an American mathematician and electrical engineer who laid the theoretical foundations for digital circuits and information theory, a mathematical communication model.
- George Markowsky
Há 4 dias · The landmark event establishing the discipline of information theory and bringing it to immediate worldwide attention was the publication of Claude E. Shannon's classic paper "A Mathematical Theory of Communication" in the Bell System Technical Journal in July and October 1948.
Há 5 dias · The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", 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.
Seu trabalho revolucionário na teoria da informação e na lógica digital estabeleceu as bases para o progresso digital da computação moderna e transformou radicalmente a maneira como entendemos e manipulamos a informação. Claude Elwood Shannon, nascido em 30 de abril de 1916, em Petoskey, Michigan, foi um dos mais brilhantes matemáticos ...
Há 1 dia · In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the " amount of information " (in units such as shannons ( bits ), nats or hartleys ) obtained about one random variable by observing the ...
Há 4 dias · The mathematical concepts established in 1948 in Shannon’s paper announced a new discipline, with the title “information theory” (IT) premiered a year later . Information theory owes its breakthrough to signal discretization based on another one of Shannon’s key contributions, the sampling theorem (1949) [ 3 ].
Há 3 dias · Entropy is a fundamental concept in information theory and coding, which was introduced by Claude E. Shannon in his seminal 1948 paper, “A Mathematical Theory of Communication. In the context of information theory, entropy is a measure of the uncertainty or the randomness in information content. It’s crucial in determining the limits of ...
