Information in the presence of noise. Shannon’s amount of information

Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe and Ruslan L. Stratonovich
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Roman V. Belavkin: Middlesex University, Faculty of Science and Technology
Panos M. Pardalos: University of Florida, Industrial and Systems Engineering
Jose C. Principe: University of Florida, Electrical & Computer Engineering

Chapter Chapter 6 in Theory of Information and its Value, 2020, pp 173-215 from Springer

Abstract: Abstract In this chapter, we consider the concept, introduced by Shannon, of the amount of mutual information information amount of Shannon’s between two random variables or two groups of random variables. This concept is central to information theory, the independent development of which was initiated by Shannon in 1948. The amount of mutual information is defined as the difference between a priori and a posteriori (conditional) entropies.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-22833-0_6

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DOI: 10.1007/978-3-030-22833-0_6

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