Information, Entropy and Their Geometric Structures
by Frederic Barbaresco, Ali Mohammad-Djafari
Publisher: MDPI AG 2015
Number of pages: 554
The aim of this book is to provide an overview of current work addressing this topic of research that explores the geometric structures of information and entropy. We hope that this vast survey on the geometric structure of information and entropy will motivate readers to go further and explore the emerging domain of 'Science of Information'.
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by Robert M. Gray - Information Systems Laboratory
The conditional rate-distortion function has proved useful in source coding problems involving the possession of side information. This book represents an early work on conditional rate distortion functions and related theory.
by Robert M. Gray - Springer
The book covers the theory of probabilistic information measures and application to coding theorems for information sources and noisy channels. This is an up-to-date treatment of traditional information theory emphasizing ergodic theory.
by David Feldman - College of the Atlantic
This e-book is a brief tutorial on information theory, excess entropy and statistical complexity. From the table of contents: Background in Information Theory; Entropy Density and Excess Entropy; Computational Mechanics.
by Venkatesan Guruswami, Atri Rudra, Madhu Sudan - University at Buffalo
Error-correcting codes are clever ways of representing data so that one can recover the original information even if parts of it are corrupted. The basic idea is to introduce redundancy so that the original information can be recovered ...