information theory - definition. What is information theory
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MATHEMATICAL THEORY FROM THE FIELD OF PROBABILITY THEORY AND STATISTICS
Information Theory; Classical information theory; Shannon theory; Information theorist; Shannon information theory; Semiotic information theory; Semiotic information; Information-theoretic; Shannons theory; Shannon's information theory; Applications of information theory
  • ''H''<sub>b</sub>(''p'')}}.  The entropy is maximized at 1 bit per trial when the two possible outcomes are equally probable, as in an unbiased coin toss.
  • A picture showing scratches on the readable surface of a CD-R.  Music and data CDs are coded using error correcting codes and thus can still be read even if they have minor scratches using [[error detection and correction]].

information theory         
¦ noun the mathematical study of the coding of information in the form of sequences of symbols, impulses, etc. and of how rapidly such information can be transmitted.
Information theory         
Information theory is the scientific study of the quantification, storage, and communication of digital information. The field was fundamentally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s.
History of information theory         
ASPECT OF HISTORY
History of Information Theory
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.

ويكيبيديا

Information theory

Information theory is the mathematical study of the quantification, storage, and communication of information. The field was originally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s.: vii  The field is at the intersection of probability theory, statistics, computer science, statistical mechanics, information engineering, and electrical engineering.

A key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (with six equally likely outcomes). Some other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy. Important sub-fields of information theory include source coding, algorithmic complexity theory, algorithmic information theory and information-theoretic security.

Applications of fundamental topics of information theory include source coding/data compression (e.g. for ZIP files), and channel coding/error detection and correction (e.g. for DSL). Its impact has been crucial to the success of the Voyager missions to deep space, the invention of the compact disc, the feasibility of mobile phones and the development of the Internet. The theory has also found applications in other areas, including statistical inference, cryptography, neurobiology, perception, linguistics, the evolution and function of molecular codes (bioinformatics), thermal physics, molecular dynamics, quantum computing, black holes, information retrieval, intelligence gathering, plagiarism detection, pattern recognition, anomaly detection and even art creation.

أمثلة من مجموعة نصية لـ٪ 1
1. Pyongyang, September 2 (KCNA) –– The Korean alphabet is superior from the viewpoint of information theory.
2. He added that the exchange of party delegations to share information, theory and experiences, is necessary and useful to bilateral ties.