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Author : Robert Gallager
Publisher : Springer
Page : 116 pages
File Size : 47,9 Mb
Release : 2014-05-04
Category : Technology & Engineering
ISBN : 9783709129456
Author : Robert C. Gallager
Publisher : Unknown
Page : 270 pages
File Size : 43,7 Mb
Release : 1968
Category : Data transmission systems
ISBN : 0471290491
Author : Robert G. Gallager
Publisher : Unknown
Page : 128 pages
File Size : 55,6 Mb
Release : 1996
Category : Electronic
ISBN : OCLC:861477779
Author : Robert G. Gallager
Publisher : Unknown
Page : 128 pages
File Size : 44,8 Mb
Release : 20??
Category : Electronic
ISBN : OCLC:861477779
Author : Robert Gallager
Publisher : Unknown
Page : 120 pages
File Size : 43,9 Mb
Release : 2014-09-01
Category : Electronic
ISBN : 370912946X
Author : Shlomo Shamai (Shitz),Abdellatif Zaidi
Publisher : MDPI
Page : 294 pages
File Size : 52,6 Mb
Release : 2021-01-13
Category : Technology & Engineering
ISBN : 9783039438174
Modern, current, and future communications/processing aspects motivate basic information-theoretic research for a wide variety of systems for which we do not have the ultimate theoretical solutions (for example, a variety of problems in network information theory as the broadcast/interference and relay channels, which mostly remain unsolved in terms of determining capacity regions and the like). Technologies such as 5/6G cellular communications, Internet of Things (IoT), and mobile edge networks, among others, not only require reliable rates of information measured by the relevant capacity and capacity regions, but are also subject to issues such as latency vs. reliability, availability of system state information, priority of information, secrecy demands, energy consumption per mobile equipment, sharing of communications resources (time/frequency/space), etc. This book, composed of a collection of papers that have appeared in the Special Issue of the Entropy journal dedicated to “Information Theory for Data Communications and Processing”, reflects, in its eleven chapters, novel contributions based on the firm basic grounds of information theory. The book chapters address timely theoretical and practical aspects that constitute both interesting and relevant theoretical contributions, as well as direct implications for modern current and future communications systems.
Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 48,5 Mb
Release : 2003-09-25
Category : Computers
ISBN : 0521642981
Table of contents
Author : Abbas El Gamal,Young-Han Kim
Publisher : Cambridge University Press
Page : 666 pages
File Size : 51,7 Mb
Release : 2011-12-08
Category : Technology & Engineering
ISBN : 9781139503143
This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.
Author : Imre Csiszár,János Körner
Publisher : Elsevier
Page : 460 pages
File Size : 52,9 Mb
Release : 2014-07-10
Category : Mathematics
ISBN : 9781483281575
Information Theory: Coding Theorems for Discrete Memoryless Systems presents mathematical models that involve independent random variables with finite range. This three-chapter text specifically describes the characteristic phenomena of information theory. Chapter 1 deals with information measures in simple coding problems, with emphasis on some formal properties of Shannon’s information and the non-block source coding. Chapter 2 describes the properties and practical aspects of the two-terminal systems. This chapter also examines the noisy channel coding problem, the computation of channel capacity, and the arbitrarily varying channels. Chapter 3 looks into the theory and practicality of multi-terminal systems. This book is intended primarily for graduate students and research workers in mathematics, electrical engineering, and computer science.
Author : D.C. Hankerson,Greg A. Harris,Peter D. Johnson, Jr.
Publisher : CRC Press
Page : 394 pages
File Size : 40,8 Mb
Release : 2003-02-26
Category : Mathematics
ISBN : 1584883138
An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory. The treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources. The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs, either in the text or in the exercises, so instructors can, if they choose, place more emphasis on the mathematics. Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students in mathematics, engineering, and computer science. Features: Expanded discussion of the historical and theoretical basis of information theory that builds a firm, intuitive grasp of the subject Reorganization of theoretical results along with new exercises, ranging from the routine to the more difficult, that reinforce students' ability to apply the definitions and results in specific situations. Simplified treatment of the algorithm(s) of Gallager and Knuth Discussion of the information rate of a code and the trade-off between error correction and information rate Treatment of probabilistic finite state source automata, including basic results, examples, references, and exercises Octave and MATLAB image compression codes included in an appendix for use with the exercises and projects involving transform methods Supplementary materials, including software, available for download from the authors' Web site at www.dms.auburn.edu/compression
Author : Mac E. Van Valkenburg,Wendy M. Middleton
Publisher : Newnes
Page : 1696 pages
File Size : 54,9 Mb
Release : 2001-09-26
Category : Technology & Engineering
ISBN : 0750672919
This standard handbook for engineers covers the fundamentals, theory and applications of radio, electronics, computers, and communications equipment. It provides information on essential, need-to-know topics without heavy emphasis on complicated mathematics. It is a "must-have" for every engineer who requires electrical, electronics, and communications data. Featured in this updated version is coverage on intellectual property and patents, probability and design, antennas, power electronics, rectifiers, power supplies, and properties of materials. Useful information on units, constants and conversion factors, active filter design, antennas, integrated circuits, surface acoustic wave design, and digital signal processing is also included. This work also offers new knowledge in the fields of satellite technology, space communication, microwave science, telecommunication, global positioning systems, frequency data, and radar.
Author : J.K. Skwirzynski
Publisher : Springer Science & Business Media
Page : 730 pages
File Size : 49,5 Mb
Release : 1981-10-31
Category : Language Arts & Disciplines
ISBN : 9028627715
Author : Richard E. Blahut
Publisher : Addison Wesley Publishing Company
Page : 480 pages
File Size : 54,7 Mb
Release : 1987
Category : Information theory
ISBN : UOM:39015065060108
Author : R. J. McEliece
Publisher : Cambridge University Press
Page : 414 pages
File Size : 41,8 Mb
Release : 2004-07-15
Category : Computers
ISBN : 0521831857
Student edition of the classic text in information and coding theory
Author : Robert G. Gallager
Publisher : Cambridge University Press
Page : 128 pages
File Size : 48,8 Mb
Release : 2008-02-28
Category : Technology & Engineering
ISBN : 9781139468602
The renowned communications theorist Robert Gallager brings his lucid writing style to the study of the fundamental system aspects of digital communication for a one-semester course for graduate students. With the clarity and insight that have characterized his teaching and earlier textbooks, he develops a simple framework and then combines this with careful proofs to help the reader understand modern systems and simplified models in an intuitive yet precise way. A strong narrative and links between theory and practice reinforce this concise, practical presentation. The book begins with data compression for arbitrary sources. Gallager then describes how to modulate the resulting binary data for transmission over wires, cables, optical fibers, and wireless channels. Analysis and intuitive interpretations are developed for channel noise models, followed by coverage of the principles of detection, coding, and decoding. The various concepts covered are brought together in a description of wireless communication, using CDMA as a case study.