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Information Theory Applications Math


Information Theory Applications Math

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Top: Science: Math: Applications: Information_Theory:


See Also:

  • - Brief information about encoding of information, source and channel coding and errors.
  • - An article about some sides of Information Theory written by Robert M. Losee. Also there is link to pdf-version of article.
  • - To promote the appreciation, understanding, and applications of entropy in its many forms.
  • - A comprehensive site dedicated to biosemiotics, an interdisciplinary science that studies communication and signification in living systems.
  • - Information theory basics, its' history. Different types of coding information. Biographies of Shannon, Fano and Huffman.
  • - From the Web Dictionary of Cybernetics and Systems.
  • - Open problems and links to software.
  • - A Talk With Steven Pinker.
  • - A collection of links to on-line expository articles on entropy and theory of information, maintained by Roland Gunesch (Penn State).
  • - An article about Information Theory and music. Definition of Information Theory, Probability, Markov Chains.
  • - Small collection of links about Information Theory and Claude Shannon.
  • - Introduction to Information Theory: defenition of information, efficient encoding, variable length codes.
  • - A brief introduction to information theory by David S. Touretzky of Carnegie Mellon University.
  • - Site promotes activities in the areas of information and communications theory in Australia. Information about conferences and other such stuff.
  • - Includes a very extensive catalog of links on SOS.
  • - The linear complexity (LC) of a sequence is the size in bits of the shortest linear feedback shift register (LFSR) which can produce that sequence. The measure speaks to the difficulty of generating, and perhaps analyzing, a particular sequence.
  • - Eight lectures on information theory by David MacKay.
  • - An introduction to the synthesis of computation and information theory by Nick Szabo.
  • - A presentation at the undergraduate level by Michael Gibbs.



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