Author: Tomohiko UyematsuPublisher:
ISBN:
Category :
Languages : en
Pages : 107
Book Description
Special Section on Information Theory and Its Applications
Author: Tomohiko UyematsuSpecial Section on Information Theory and Its Applications
Author: Special Section on Information Theory and Its Applications
Author: Twentieth Symposium on Information Theory and Its Applications
Author: Hisashi OsawaSpecial Section on Information Theory and Its Applications [papers Originally Presented at SITA 2006 (the 29th Symposium on Information Theory and Its Applications), Held in Hakodate, Hokkaido, Japan from November 28 to December 1, 2006 and ISITA 2006 (the International Symposium on Information Theory and Its Applications), Held in Seoul, Korea from October 29 to November 1, 2006]
![Special Section on Information Theory and Its Applications [papers Originally Presented at SITA 2006 (the 29th Symposium on Information Theory and Its Applications), Held in Hakodate, Hokkaido, Japan from November 28 to December 1, 2006 and ISITA 2006 (the International Symposium on Information Theory and Its Applications), Held in Seoul, Korea from October 29 to November 1, 2006] PDF](https://books.google.com/books/content/images/frontcover/1FOlPgAACAAJ?fife=w80-h100)
Author: Hiroyoshi MoritaThe Theory of Information and Coding
Author: R. J. McEliecePublisher: Cambridge University Press
ISBN: 9780521831857
Category : Computers
Languages : en
Pages : 414
Book Description
Student edition of the classic text in information and coding theory
Information Theory, Inference and Learning Algorithms
Author: David J. C. MacKayPublisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
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.
Information Theory
Author: Robert B. AshPublisher: Halsted Press
ISBN:
Category : Computers
Languages : en
Pages : 360
Book Description
Fundamentals of Information Theory and Coding Design
Author: Roberto TogneriPublisher: CRC Press
ISBN: 0203998103
Category : Computers
Languages : en
Pages : 385
Book Description
Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction. Even fewer build the essential theoretical framework when presenting algorithms and implementation details of modern coding systems. Without abandoning the theoret
Information Theory for Data Communications and Processing
Author: Shlomo Shamai (Shitz)Publisher: MDPI
ISBN: 3039438174
Category : Technology & Engineering
Languages : en
Pages : 294
Book Description
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.