Download elements of information theory in pdf or read elements of information theory in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get elements of information theory in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Elements Of Information Theory

Author: Thomas M. Cover
Publisher: John Wiley & Sons
ISBN: 1118585771
Size: 55.83 MB
Format: PDF, Mobi
View: 240
Download and Read
The latest edition of this classic is updated with new problem setsand material The Second Edition of this fundamental textbook maintains thebook's tradition of clear, thought-provoking instruction. Readersare provided once again with an instructive mix of mathematics,physics, statistics, and information theory. All the essential topics in information theory are covered indetail, including entropy, data compression, channel capacity, ratedistortion, network information theory, and hypothesis testing. Theauthors provide readers with a solid understanding of theunderlying theory and applications. Problem sets and a telegraphicsummary at the end of each chapter further assist readers. Thehistorical notes that follow each chapter recap the mainpoints. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedbackcapacity * Updated references Now current and enhanced, the Second Edition of Elements ofInformation Theory remains the ideal textbook for upper-levelundergraduate and graduate courses in electrical engineering,statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Elements Of Information Theory

Author: Cover
Publisher: John Wiley & Sons
ISBN: 9788126508143
Size: 25.11 MB
Format: PDF, Docs
View: 5529
Download and Read
· Entropy, Relative Entropy and Mutual Information· The Asymptotic Equipartition Property· Entropy Rates of a Stochastic Process· Data Compression· Gambling and Data Compression· Kolmogorov Complexity· Channel Capacity· Differential Entropy· The Gaussian Channel· Maximum Entropy and Spectral Estimation· Information Theory and Statistics· Rate Distortion Theory· Network Information Theory· Information Theory and the Stock Market· Inequalities in Information Theory

Elements Of Information Theory

Author: Thomas M. Cover
Publisher: Wiley-Interscience
ISBN: 9780471241959
Size: 54.55 MB
Format: PDF, Kindle
View: 521
Download and Read
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

An Introduction To Information Theory

Author: Fazlollah M. Reza
Publisher: Courier Corporation
ISBN: 0486158446
Size: 13.28 MB
Format: PDF, Docs
View: 1175
Download and Read
Graduate-level study for engineering students presents elements of modern probability theory, information theory, coding theory, more. Emphasis on sample space, random variables, capacity, etc. Many reference tables and extensive bibliography. 1961 edition.

Elements Of Information Theory

Author: Gina Simpson
Publisher: Willford Press
ISBN: 9781682854082
Size: 24.37 MB
Format: PDF, Kindle
View: 6427
Download and Read
Information theory studies the storage and extraction of information. Lossless data compression, lossy data compression and channel coding are some of the fundamental aspects of information theory. Information theory is essentially used in cryptography, which studies the practice of securing communication. It is used in our day-to-day life applications such as ATM cards, computer passwords, website encryptions and electronic commerce. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.

Uncertainty Based Information

Author: George J. Klir
Publisher: Physica
ISBN: 3790818690
Size: 48.33 MB
Format: PDF, Mobi
View: 5595
Download and Read
Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. His power comes from know ing which particles are hot and which particles are cold. His existence was paradoxical to classical physics and only the realization that information too was a source of power led to his taming. Information has recently become a commodity, traded and sold like or ange juice or hog bellies. Colleges give degrees in information science and information management. Technology of the computer age has provided access to information in overwhelming quantity. Information has become something worth studying in its own right. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory. The volume is organized as follows.

A Student S Guide To Coding And Information Theory

Author: Stefan M. Moser
Publisher: Cambridge University Press
ISBN: 1107080029
Size: 78.71 MB
Format: PDF, ePub, Mobi
View: 3321
Download and Read
This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.

Introduction To Digital Communication Systems

Author: Krzysztof Wesolowski
Publisher: John Wiley & Sons
ISBN: 9780470695197
Size: 66.41 MB
Format: PDF, Kindle
View: 5593
Download and Read
Combining theoretical knowledge and practical applications, this advanced-level textbook covers the most important aspects of contemporary digital communication systems. Introduction to Digital Communication Systems focuses on the rules of functioning digital communication system blocks, starting with the performance limits set by the information theory. Drawing on information relating to turbo codes and LDPC codes, the text presents the basic methods of error correction and detection, followed by baseband transmission methods, and single- and multi-carrier digital modulations. The basic properties of several physical communication channels used in digital communication systems are explained, showing the transmission and reception methods on channels suffering from intersymbol interference. The text also describes the most recent developments in the transmission techniques specific to wireless communications used both in wireline and wireless systems. The case studies are a unique feature of this book, illustrating elements of the theory developed in each chapter. Introduction to Digital Communication Systems provides a concise approach to digital communications, with practical examples and problems to supplement the text. There is also a companion website featuring an instructors’ solutions manual and presentation slides to aid understanding. Offers theoretical and practical knowledge in a self-contained textbook on digital communications Explains basic rules of recent achievements in digital communication systems such as MIMO, turbo codes, LDPC codes, OFDMA, SC-FDMA Provides problems at the end of each chapter with an instructors’ solutions manual on the companion website Includes case studies and representative communication system examples such as DVB-S, GSM, UMTS, 3GPP-LTE

An Information Theoretic Approach To Neural Computing

Author: Gustavo Deco
Publisher: Springer Science & Business Media
ISBN: 9780387946665
Size: 12.98 MB
Format: PDF, ePub, Docs
View: 262
Download and Read
Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this perspective provides new insights into the design theory of neural networks. In particular they show how these methods may be applied to the topics of supervised and unsupervised learning including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from several different scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this to be a very valuable introduction to this topic.

Science And Information Theory

Author: Leon Brillouin
Publisher: Courier Corporation
ISBN: 9780486439181
Size: 60.95 MB
Format: PDF, Kindle
View: 4964
Download and Read
A classic source for understanding the connections between information theory and physics, this text was written by one of the giants of 20th-century physics and is appropriate for upper-level undergraduates and graduate students. Topics include the principles of coding, coding problems and solutions, the analysis of signals, a summary of thermodynamics, thermal agitation and Brownian motion, and thermal noise in an electric circuit. A discussion of the negentropy principle of information introduces the author's renowned examination of Maxwell's demon. Concluding chapters explore the associations between information theory, the uncertainty principle, and physical limits of observation, in addition to problems related to computing, organizing information, and inevitable errors.