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Information Measures

Overview of attention for book
Information Measures
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Abstract
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    Chapter 2 Introduction
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    Chapter 3 Basic considerations
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    Chapter 4 Historic development of information theory
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    Chapter 5 The concept of entropy in physics
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    Chapter 6 Extension of Shannon’s information
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    Chapter 7 Generalized entropy measures
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    Chapter 8 Information functions and gaussian distributions
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    Chapter 9 Shannon’s information of discrete probability distributions
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    Chapter 10 Information functions for gaussian distributions part II
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    Chapter 11 Bounds of the variance
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    Chapter 12 Ambiguity function
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    Chapter 13 Akaike’s information criterion
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    Chapter 14 Channel information
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    Chapter 15 ‘Deterministic’ and stochastic information
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    Chapter 16 Maximum entropy estimation
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    Chapter 17 Concluding remarks
Attention for Chapter 14: Channel information
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