Information Theory and Coding by John Daugman.
Publisher : University of Cambridge Number of pages : Description : The aims of this course are to introduce the principles and applications of information theory. The course will study how information is measured in terms of probability and entropy, and the relationships among conditional and joint entropies; how these are used to calculate the capacity of a communication channel, with and without noise; coding schemes, including error correcting codes; how discrete channels and measures of information generalize to their continuous forms; etc.
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This survey will motivate readers to explore the emerging domain of Science of Information. Wilde - arXiv The aim of this book is to develop 'from the ground up' many of the major developments in quantum Shannon theory.
Mod-01 Lec-01 Introduction to Information Theory and Coding
We study quantum mechanics for quantum information theory, we give important unit protocols of teleportation, super-dense coding, etc. The course is aimed at EE graduate students in the area of Communications and Information Theory, or graduate students in Physics. Information-Theoretic Incompleteness by Gregory J.
Chaitin - World Scientific In this mathematical autobiography, Gregory Chaitin presents a technical survey of his work and a non-technical discussion of its significance. The technical survey contains many new results, including a detailed discussion of LISP program size.