Narasimhamurthi, N.: ¬A primer on information theory (1996)
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- Abstract
- Presents, at an elementary level, the central ideas of information theory in terms of naive probability theory. Information theory rests on the 2 pillars of quantifying uncertainty and coding and deals with how best to code information so that its uncertainty can be reduced most efficiently. Develops the quantification of uncertainty in 2 steps: first, the special case when all possible outcomes have the same probability; and second, the general case when all possibilities need not be equally probable. Examines 2 forms of coding: proactive and reactive. Coding is essentially an artificial classification or indexing of data and this aspect of information theory is of interest to anyone classifying, storing, and disseminating information
