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  2. Units of information - Wikipedia

    en.wikipedia.org/wiki/Units_of_information

    In information theory, units of information are also used to measure information contained in messages and the entropy of random variables. The most commonly used units of data storage capacity are the bit , the capacity of a system that has only two states, and the byte (or octet ), which is equivalent to eight bits.

  3. Bit - Wikipedia

    en.wikipedia.org/wiki/Bit

    qudit (d -dimensional) v. t. e. The bit is the most basic unit of information in computing and digital communication. The name is a portmanteau of binary digit. [1] The bit represents a logical state with one of two possible values. These values are most commonly represented as either "1" or "0", but other representations such as true / false ...

  4. Information theory - Wikipedia

    en.wikipedia.org/wiki/Information_theory

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

  5. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".

  6. Entropy (information theory) - Wikipedia

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

    In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential states or possible outcomes. This measures the expected amount of information needed to describe the state of the variable, considering the distribution of probabilities across all potential ...

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    In information theory, data compression, source coding, [ 1 ] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [ 2 ] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

  8. Byte - Wikipedia

    en.wikipedia.org/wiki/Byte

    The byte is a unit of digital information that most commonly consists of eight bits. Historically, the byte was the number of bits used to encode a single character of text in a computer [1][2] and for this reason it is the smallest addressable unit of memory in many computer architectures. To disambiguate arbitrarily sized bytes from the ...

  9. 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 ...