Information Theory：From Coding to Learning (1版)

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【簡介】 This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercise

Information Theory and Evolution (3版)

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This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. As the author shows, this paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources. Another focus of the book is the role of information in human cultural evolution, which is also discussed with the origin of human linguistic abilities. One of the final chapters addresses the merging of information technology and biotechnology into a new discipline — bioinformation technology. This third edition has been updated to reflect the latest scientific and technological advances. Professor Avery makes use of the perspectives of famous scholars such as Professor Noam Chomsky and Nobel Laureates John O'Keefe, May-Britt Moser and Edward Moser to cast light on the evolution of human languages. The mechanism of cell differentiation, and the rapid acceleration of information technology in the 21st century are also discussed. With various research disciplines becoming increasingly interrelated today, Information Theory and Evolution provides nuance to the conversation between bioinformatics, information technology, and pertinent social-political issues. This book is a welcome voice in working on the future challenges that humanity will face as a result of scientific and technological progress. Sample Chapter(s) Preface Chapter 1: PIONEERS OF EVOLUTIONARY THOUGHT Contents: Pioneers of Evolutionary Thought Charles Darwin's Life and Work Molecular Biology and Evolution Statistical Mechanics and Information Information Flow in Biology Cultural Evolution and Information Information Technology Pathfinding The Evolution of Human Languages The Mechanism of Cell Differentiation Bio-Information Technology Looking Towards the Future Appendix A: Entropy And Information Appendix B: Biosemiotics Appendix C: Entropy And Economics Index Readership: General readers interested in the intersection between information theory and evolution, undergraduates of physics and biology, researchers in bioinformatics.

A Quantum Leap in Information Theory

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This is an introductory textbook at graduate or advanced undergraduate level. Students with diverse backgrounds, in mathematics, physics and computer science, can use it to become acquainted with the quantum theory of information. Its scope is deliberately chosen to be not too broad, while being self-consistent and usable for a semester-long course for beginners. The subject is presented using a balanced mix of intuitive arguments and rigorous formalism. The emphasis is not on the physical information but rather in the formal and mathematical features of quantum information theory. Only a basic knowledge of algebra is required to understand the contents of this book. In particular, a background in quantum mechanics is not needed, since quantum theory is used as a mere mathematical framework without entering into physical interpretations. The book introduces all necessary concepts from quantum theory and classical information theory, to cover the elements of quantum Shannon theory: quantum states and channels, data compression and entropy, error correcting codes and channel capacities, as well as the basics of entanglement theory and quantum cryptography. Examples are provided to help the reader in understanding the different concepts, together with exercises at the end of each chapter. Sample Chapter(s) PREFACE Chapter 1: PRELUDE Request Inspection Copy Contents: Prelude Information and Entropy: The Classical View A Quantum Primer Mixed Quantum States Information and Entropy: The Quantum View Channel Maps Interlude: Estimation Theory Data Compression Information Transmission Error Correcting Codes Channel Capacities Entanglement Manipulation Cryptography Appendix: Fundamentals of Linear Algebra Solutions to Selected Exercises Readership: Graduate students and researchers from Mathematics and Communication Engineering.

An Introduction to Single-User Information Theory 2018 <SV>

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書名：An Introduction to Single-User Information Theory 作者：Alajaji 出版社：Springer Verlag 出版日期：2018/05/07 ISBN：9789811080005