Search results
Results from the WOW.Com Content Network
The Shannon family lived in Gaylord, Michigan, and Claude was born in a hospital in nearby Petoskey. [4] His father, Claude Sr. (1862–1934), was a businessman and, for a while, a judge of probate in Gaylord. His mother, Mabel Wolf Shannon (1880–1945), was a language teacher, who also served as the principal of Gaylord High School. [36]
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 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. He came to be known as the "father of information theory".
United States. "Communication Theory of Secrecy Systems" is a paper published in 1949 by Claude Shannon discussing cryptography from the viewpoint of information theory. [1] It is one of the foundational treatments (arguably the foundational treatment) of modern cryptography. [2] His work has been described as a "turning point, and marked the ...
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.
The decisive event which established the discipline of information theory, and brought 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.
e. 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.
In the channel considered by the Shannon–Hartley theorem, noise and signal are combined by addition. That is, the receiver measures a signal that is equal to the sum of the signal encoding the desired information and a continuous random variable that represents the noise. This addition creates uncertainty as to the original signal's value.