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Information Theory and Selected Applications

2023-01-01 Computers
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Release : 2023-01-01
Genre : Computers
Kind : eBook
Book Rating : 762/5 ( reviews)

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Book Synopsis Information Theory and Selected Applications by : Arieh Ben-Naim

Download or read book Information Theory and Selected Applications written by Arieh Ben-Naim. This book was released on 2023-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on analysing the applications of the Shannon Measure of Information (SMI). The book introduces the concept of frustration and discusses the question of the quantification of this concept within information theory (IT), while it also focuses on the interpretation of the entropy of systems of interacting particles in terms of the SMI and of mutual information. The author examines the question of the possibility of measuring the extent of frustration using mutual information and discusses some classical examples of processes of mixing and assimilation for which the entropy changes are interpreted in terms of SMI. A description of a few binding systems and the interpretation of cooperativity phenomena in terms of mutual information are also presented, along with a detailed discussion on the general method of using maximum SMI in order to find the “best-guess” probability distribution. This book is a valuable contribution to the field of information theory and will be of great interest to any scientist who is interested in IT and in its potential applications.

Information Theory and Selected Applications

2023
Download Information Theory and Selected Applications PDF Online Free

Author :
Release : 2023
Genre :
Kind : eBook
Book Rating : 772/5 ( reviews)

GET EBOOK


Book Synopsis Information Theory and Selected Applications by : Arieh Ben-Naim

Download or read book Information Theory and Selected Applications written by Arieh Ben-Naim. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on analysing the applications of the Shannon Measure of Information (SMI). The book introduces the concept of frustration and discusses the question of the quantification of this concept within information theory (IT), while it also focuses on the interpretation of the entropy of systems of interacting particles in terms of the SMI and of mutual information. The author examines the question of the possibility of measuring the extent of frustration using mutual information and discusses some classical examples of processes of mixing and assimilation for which the entropy changes are interpreted in terms of SMI. A description of a few binding systems and the interpretation of cooperativity phenomena in terms of mutual information are also presented, along with a detailed discussion on the general method of using maximum SMI in order to find the "best-guess" probability distribution. This book is a valuable contribution to the field of information theory and will be of great interest to any scientist who is interested in IT and in its potential applications.

Information Theory

2015-01-01 Business & Economics
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Release : 2015-01-01
Genre : Business & Economics
Kind : eBook
Book Rating : 856/5 ( reviews)

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Book Synopsis Information Theory by : JV Stone

Download or read book Information Theory written by JV Stone. This book was released on 2015-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution, and is now an essential tool in telecommunications, genetics, linguistics, brain sciences, and deep space communication. In this richly illustrated book, accessible examples are used to introduce information theory in terms of everyday games like ‘20 questions’ before more advanced topics are explored. Online MatLab and Python computer programs provide hands-on experience of information theory in action, and PowerPoint slides give support for teaching. Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.

The Theory of Information and Coding

2004-07-15 Computers
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Release : 2004-07-15
Genre : Computers
Kind : eBook
Book Rating : 857/5 ( reviews)

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Book Synopsis The Theory of Information and Coding by : R. J. McEliece

Download or read book The Theory of Information and Coding written by R. J. McEliece. This book was released on 2004-07-15. Available in PDF, EPUB and Kindle. Book excerpt: Student edition of the classic text in information and coding theory

Information Theory, Inference and Learning Algorithms

2003-09-25 Computers
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Release : 2003-09-25
Genre : Computers
Kind : eBook
Book Rating : 989/5 ( reviews)

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Book Synopsis Information Theory, Inference and Learning Algorithms by : David J. C. MacKay

Download or read book Information Theory, Inference and Learning Algorithms written by David J. C. MacKay. This book was released on 2003-09-25. Available in PDF, EPUB and Kindle. Book excerpt: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

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