An Algebraic and Probabilistic Framework for Network Information Theory

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Publisher :
ISBN 13 : 9781680837667
Total Pages : 224 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis An Algebraic and Probabilistic Framework for Network Information Theory by : S. Sandeep Pradhan

Download or read book An Algebraic and Probabilistic Framework for Network Information Theory written by S. Sandeep Pradhan and published by . This book was released on 2020-12-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Methods and Distributed Information

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Publisher : Springer
ISBN 13 : 3030003124
Total Pages : 581 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Probabilistic Methods and Distributed Information by : Rudolf Ahlswede

Download or read book Probabilistic Methods and Distributed Information written by Rudolf Ahlswede and published by Springer. This book was released on 2018-12-31 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fifth volume of Rudolf Ahlswede’s lectures on Information Theory focuses on several problems that were at the heart of a lot of his research. One of the highlights of the entire lecture note series is surely Part I of this volume on arbitrarily varying channels (AVC), a subject in which Ahlswede was probably the world's leading expert. Appended to Part I is a survey by Holger Boche and Ahmed Mansour on recent results concerning AVC and arbitrarily varying wiretap channels (AVWC). After a short Part II on continuous data compression, Part III, the longest part of the book, is devoted to distributed information. This Part includes discussions on a variety of related topics; among them let us emphasize two which are famously associated with Ahlswede: "multiple descriptions", on which he produced some of the best research worldwide, and "network coding", which had Ahlswede among the authors of its pioneering paper. The final Part IV on "Statistical Inference under Communication constraints" is mainly based on Ahlswede’s joint paper with Imre Csiszar, which received the Best Paper Award of the IEEE Information Theory Society. The lectures presented in this work, which consists of 10 volumes, are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used either as the basis for courses or to supplement them in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.

Information Theory

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Publisher : Halsted Press
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Information Theory by : Robert B. Ash

Download or read book Information Theory written by Robert B. Ash and published by Halsted Press. This book was released on 1965 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability and Information Theory

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Publisher : Springer
ISBN 13 : 3540360980
Total Pages : 265 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Probability and Information Theory by : M. Behara

Download or read book Probability and Information Theory written by M. Behara and published by Springer. This book was released on 2006-11-14 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information Algebras

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Publisher : Springer Science & Business Media
ISBN 13 : 1447100093
Total Pages : 274 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Information Algebras by : Juerg Kohlas

Download or read book Information Algebras written by Juerg Kohlas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information usually comes in pieces, from different sources. It refers to different, but related questions. Therefore information needs to be aggregated and focused onto the relevant questions. Considering combination and focusing of information as the relevant operations leads to a generic algebraic structure for information. This book introduces and studies information from this algebraic point of view. Algebras of information provide the necessary abstract framework for generic inference procedures. They allow the application of these procedures to a large variety of different formalisms for representing information. At the same time they permit a generic study of conditional independence, a property considered as fundamental for knowledge presentation. Information algebras provide a natural framework to define and study uncertain information. Uncertain information is represented by random variables that naturally form information algebras. This theory also relates to probabilistic assumption-based reasoning in information systems and is the basis for the belief functions in the Dempster-Shafer theory of evidence.

Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)

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Publisher : Springer Nature
ISBN 13 : 3031437926
Total Pages : 359 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23) by : Sergey Kovalev

Download or read book Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23) written by Sergey Kovalev and published by Springer Nature. This book was released on 2023-09-17 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.

Information Theory and Coding by Example

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Publisher : Cambridge University Press
ISBN 13 : 1107292174
Total Pages : 527 pages
Book Rating : 4.1/5 (72 download)

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Book Synopsis Information Theory and Coding by Example by : Mark Kelbert

Download or read book Information Theory and Coding by Example written by Mark Kelbert and published by Cambridge University Press. This book was released on 2013-09-12 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles.

Probabilistic Methods and Distributed Information

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Publisher :
ISBN 13 : 9783030003111
Total Pages : 581 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Probabilistic Methods and Distributed Information by : Rudolf Ahlswede

Download or read book Probabilistic Methods and Distributed Information written by Rudolf Ahlswede and published by . This book was released on 2019 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fifth volume of Rudolf Ahlswede's lectures on Information Theory focuses on several problems that were at the heart of a lot of his research. One of the highlights of the entire lecture note series is surely Part I of this volume on arbitrarily varying channels (AVC), a subject in which Ahlswede was probably the world's leading expert. Appended to Part I is a survey by Holger Boche and Ahmed Mansour on recent results concerning AVC and arbitrarily varying wiretap channels (AVWC). After a short Part II on continuous data compression, Part III, the longest part of the book, is devoted to distributed information. This Part includes discussions on a variety of related topics; among them let us emphasize two which are famously associated with Ahlswede: "multiple descriptions", on which he produced some of the best research worldwide, and "network coding", which had Ahlswede among the authors of its pioneering paper. The final Part IV on "Statistical Inference under Communication constraints" is mainly based on Ahlswede's joint paper with Imre Csiszar, which received the Best Paper Award of the IEEE Information Theory Society. The lectures presented in this work, which consists of 10 volumes, are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used either as the basis for courses or to supplement them in many ways. Ph. D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.

Information Theory in Computer Vision and Pattern Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 1848822979
Total Pages : 375 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Information Theory in Computer Vision and Pattern Recognition by : Francisco Escolano Ruiz

Download or read book Information Theory in Computer Vision and Pattern Recognition written by Francisco Escolano Ruiz and published by Springer Science & Business Media. This book was released on 2009-07-14 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information...), principles (maximum entropy, minimax entropy...) and theories (rate distortion theory, method of types...). This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to a cross-fertilization of both areas.

The Mathematical Theory of Communication

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Publisher : University of Illinois Press
ISBN 13 : 025209803X
Total Pages : 141 pages
Book Rating : 4.2/5 (52 download)

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Book Synopsis The Mathematical Theory of Communication by : Claude E Shannon

Download or read book The Mathematical Theory of Communication written by Claude E Shannon and published by University of Illinois Press. This book was released on 1998-09-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

Mathematical Foundations of Computer Networking

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Publisher : Pearson Education
ISBN 13 : 0321792106
Total Pages : 496 pages
Book Rating : 4.3/5 (217 download)

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Book Synopsis Mathematical Foundations of Computer Networking by : Srinivasan Keshav

Download or read book Mathematical Foundations of Computer Networking written by Srinivasan Keshav and published by Pearson Education. This book was released on 2012 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical techniques pervade current research in computer networking, yet are not taught to most computer science undergraduates. This self-contained, highly-accessible book bridges the gap, providing the mathematical grounding students and professionals need to successfully design or evaluate networking systems. The only book of its kind, it brings together information previously scattered amongst multiple texts. It first provides crucial background in basic mathematical tools, and then illuminates the specific theories that underlie computer networking. Coverage includes: * Basic probability * Statistics * Linear Algebra * Optimization * Signals, Systems, and Transforms, including Fourier series and transforms, Laplace transforms, DFT, FFT, and Z transforms * Queuing theory * Game Theory * Control theory * Information theory

Quantum Information Theory

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Publisher : Cambridge University Press
ISBN 13 : 1107034256
Total Pages : 673 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Quantum Information Theory by : Mark Wilde

Download or read book Quantum Information Theory written by Mark Wilde and published by Cambridge University Press. This book was released on 2013-04-18 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade.

Lattice Coding for Signals and Networks

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Publisher : Cambridge University Press
ISBN 13 : 0521766982
Total Pages : 459 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Lattice Coding for Signals and Networks by : Ram Zamir

Download or read book Lattice Coding for Signals and Networks written by Ram Zamir and published by Cambridge University Press. This book was released on 2014-08-07 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Links information theory and digital communication through the language of lattice codes, featuring many advanced practical setups and techniques.

A First Course in Information Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 1441986081
Total Pages : 426 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis A First Course in Information Theory by : Raymond W. Yeung

Download or read book A First Course in Information Theory written by Raymond W. Yeung and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Network Coding Theory

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Publisher : Now Publishers Inc
ISBN 13 : 1933019247
Total Pages : 156 pages
Book Rating : 4.9/5 (33 download)

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Book Synopsis Network Coding Theory by : Raymond W. Yeung

Download or read book Network Coding Theory written by Raymond W. Yeung and published by Now Publishers Inc. This book was released on 2006 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a tutorial on the basics of network coding theory. Divided into two parts, this book presents a unified framework for understanding the basic notions and fundamental results in network coding. It is aimed at students, researchers and practitioners working in networking research.

Lattice Coding for Signals and Networks

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Publisher : Cambridge University Press
ISBN 13 : 1139991590
Total Pages : 459 pages
Book Rating : 4.1/5 (399 download)

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Book Synopsis Lattice Coding for Signals and Networks by : Ram Zamir

Download or read book Lattice Coding for Signals and Networks written by Ram Zamir and published by Cambridge University Press. This book was released on 2014-08-07 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks.

Elements of Information Theory

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Publisher : John Wiley & Sons
ISBN 13 : 1118585771
Total Pages : 788 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Elements of Information Theory by : Thomas M. Cover

Download or read book Elements of Information Theory written by Thomas M. Cover and published by John Wiley & Sons. This book was released on 2012-11-28 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.