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This book is the best, like introduction in the theory information. The examples are great, the analogies with the circuit are helpful. The review of mathematical backgrounds, in special the statistical, the theorems, permit a good comprehension. The new books in this topic are bad, because they separate Lire la suite.

Graduatelevel study for engineering students presents elements of modern probability theory, elements of information theory with emphasis on its basic roots in probability theory and elements of coding theory. Emphasis is on such basic concepts as sets, sample space, random variables, information measure, and capacity. Information theory, in the technical sense, as it is used today goes back to the work of Claude Shannon and was introduced as a means to study and solve problems of communication or transmission of signals over channels.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. Basics of information theory We would like to develop a usable measure of the information we get from observing the occurrence of an event having probability p. Our rst reduction will be to ignore any particular features of the event, and only observe whether or not it happened. Thus we will think of an event as the observance of a symbol Lire la suite.

Simon J. Nick Bostrom.

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## Introduction to Information Theory: Symbols, Signals and Noise

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## An Introduction to Information Theory, Symbols, Signals and Noise

The Elements of Statistical Learning. Trevor Hastie. Your review has been submitted successfully. Not registered?

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