Author: IEEE Staff
Publisher:
ISBN: 9781665475556
Category :
Languages : en
Pages : 0
Book Description
Coding for Communication and Storage Coding Theory Combinatorics and Information Theory Communication Theory Complexity and Computation Theory Compressed Sensing and Sparsity Cryptography and Security Deep Learning for Communication Networks Distributed Storage Emerging Applications of Information Theory Information Theory and Statistics Information Theory in Biology Information Theory in Computer Science Network Coding and Applications Network Data Analysis Network Information Theory Pattern Recognition and Machine Learning Quantum Information and Coding Theory Shannon Theory Signal Processing Source and Channel Modeling Source Coding and Data Compression Wireless Communication and Networks
2023 IEEE International Symposium on Information Theory (ISIT)
Author: IEEE Staff
Publisher:
ISBN: 9781665475556
Category :
Languages : en
Pages : 0
Book Description
Coding for Communication and Storage Coding Theory Combinatorics and Information Theory Communication Theory Complexity and Computation Theory Compressed Sensing and Sparsity Cryptography and Security Deep Learning for Communication Networks Distributed Storage Emerging Applications of Information Theory Information Theory and Statistics Information Theory in Biology Information Theory in Computer Science Network Coding and Applications Network Data Analysis Network Information Theory Pattern Recognition and Machine Learning Quantum Information and Coding Theory Shannon Theory Signal Processing Source and Channel Modeling Source Coding and Data Compression Wireless Communication and Networks
Publisher:
ISBN: 9781665475556
Category :
Languages : en
Pages : 0
Book Description
Coding for Communication and Storage Coding Theory Combinatorics and Information Theory Communication Theory Complexity and Computation Theory Compressed Sensing and Sparsity Cryptography and Security Deep Learning for Communication Networks Distributed Storage Emerging Applications of Information Theory Information Theory and Statistics Information Theory in Biology Information Theory in Computer Science Network Coding and Applications Network Data Analysis Network Information Theory Pattern Recognition and Machine Learning Quantum Information and Coding Theory Shannon Theory Signal Processing Source and Channel Modeling Source Coding and Data Compression Wireless Communication and Networks
2020 IEEE International Symposium on Information Theory (ISIT)
Author: IEEE Staff
Publisher:
ISBN: 9781728164335
Category :
Languages : en
Pages :
Book Description
Information theory, coding theory, communication theory, signal processing, and foundations of machine learning
Publisher:
ISBN: 9781728164335
Category :
Languages : en
Pages :
Book Description
Information theory, coding theory, communication theory, signal processing, and foundations of machine learning
Network Information Theory
Author: Abbas El Gamal
Publisher: Cambridge University Press
ISBN: 1139503146
Category : Technology & Engineering
Languages : en
Pages : 666
Book Description
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.
Publisher: Cambridge University Press
ISBN: 1139503146
Category : Technology & Engineering
Languages : en
Pages : 666
Book Description
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.
A First Course in Information Theory
Author: Raymond W. Yeung
Publisher: Springer Science & Business Media
ISBN: 1441986081
Category : Technology & Engineering
Languages : en
Pages : 426
Book Description
This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
Publisher: Springer Science & Business Media
ISBN: 1441986081
Category : Technology & Engineering
Languages : en
Pages : 426
Book Description
This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
Principles and Practice of Information Theory
Author: Richard E. Blahut
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 480
Book Description
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 480
Book Description
Quantum Information Theory
Author: Mark Wilde
Publisher: Cambridge University Press
ISBN: 1107034256
Category : Computers
Languages : en
Pages : 673
Book Description
A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade.
Publisher: Cambridge University Press
ISBN: 1107034256
Category : Computers
Languages : en
Pages : 673
Book Description
A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade.
1990 IEEE International Symposium on Information Theory (ISIT)
Author: Laurence B. Milstein
Publisher:
ISBN:
Category : Information theory
Languages : en
Pages : 230
Book Description
Publisher:
ISBN:
Category : Information theory
Languages : en
Pages : 230
Book Description
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.
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.
An Introduction to Single-User Information Theory
Author: Fady Alajaji
Publisher: Springer
ISBN: 9811080011
Category : Mathematics
Languages : en
Pages : 333
Book Description
This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available.
Publisher: Springer
ISBN: 9811080011
Category : Mathematics
Languages : en
Pages : 333
Book Description
This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available.