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| information theory and coding lecture notes: Network Information Theory Abbas El Gamal, Young-Han Kim, 2011-12-08 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. |
| information theory and coding lecture notes: Information Theory, Inference and Learning Algorithms David J. C. MacKay, 2003-09-25 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 and coding lecture notes: Elements of Information Theory Thomas M. Cover, Joy A. Thomas, 2012-11-28 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. |
| information theory and coding lecture notes: Coding and Information Theory Steven Roman, 1992-06-04 This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra. |
| information theory and coding lecture notes: Information Theory, Coding and Cryptography Ranjan Bose, 2008 |
| information theory and coding lecture notes: Information Theory and Statistics Imre Csiszár, Paul C. Shields, 2004 Explores the applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an information geometry background. |
| information theory and coding lecture notes: A First Course in Information Theory Raymond W. Yeung, 2012-12-06 A First Course in Information Theory is 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. |
| information theory and coding lecture notes: A Student's Guide to Coding and Information Theory Stefan M. Moser, Po-Ning Chen, 2012-01-26 This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory. |
| information theory and coding lecture notes: Information Theory and Network Coding Raymond W. Yeung, 2008-08-28 This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own in information science. With its root in infor- tion theory, network coding has not only brought about a paradigm shift in network communications at large, but also had signi?cant in?uence on such speci?c research ?elds as coding theory, networking, switching, wireless c- munications,distributeddatastorage,cryptography,andoptimizationtheory. While new applications of network coding keep emerging, the fundamental - sults that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on di?erential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department. |
| information theory and coding lecture notes: Information Theory and Coding Norman Abramson, 1963 |
| information theory and coding lecture notes: Basic Concepts in Information Theory and Coding Solomon W. Golomb, Robert E. Peile, Robert A. Scholtz, 1994-04-30 This highly readable text provides a clear exposition of the implications and interpretations of the fundamentals of discrete information theory and coding. Focusing on the results of practical applications, the authors cover information measures, Shannon's channel capacity/coding theorems, and source and channel coding concepts. The clear, accessible text will serve as an introduction to the field for professionals and students in communication systems, computer science, and electrical systems science. |
| information theory and coding lecture notes: Information Theory and Coding by Example Mark Kelbert, Yu. M. Suhov, 2013-09-12 A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers. |
| information theory and coding lecture notes: Quantum Information Theory Mark Wilde, 2013-04-18 A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade. |
| information theory and coding lecture notes: An Introduction to Information Theory Fazlollah M. Reza, 2012-07-13 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. |
| information theory and coding lecture notes: General Theory of Information Transfer and Combinatorics Rudolf Ahlswede, Lars Bäumer, Ning Cai, Harout Aydinian, Vladimir Blinovsky, Christian Deppe, Haik Mashurian, 2006-12-08 This book collects 63 revised, full-papers contributed to a research project on the General Theory of Information Transfer and Combinatorics that was hosted from 2001-2004 at the Center for Interdisciplinary Research (ZIF) of Bielefeld University and several incorporated meetings. Topics covered include probabilistic models, cryptology, pseudo random sequences, quantum models, pattern discovery, language evolution, and network coding. |
| information theory and coding lecture notes: Introduction to Information Theory and Data Compression, Second Edition D.C. Hankerson, Greg A. Harris, Peter D. Johnson, Jr., 2003-02-26 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 |
| information theory and coding lecture notes: Information Theory for Continuous Systems Shunsuke Ihara, 1993 This book provides a systematic mathematical analysis of entropy and stochastic processes, especially Gaussian processes, and its applications to information theory.The contents fall roughly into two parts. In the first part a unified treatment of entropy in information theory, probability theory and mathematical statistics is presented. The second part deals mostly with information theory for continuous communication systems. Particular emphasis is placed on the Gaussian channel.An advantage of this book is that, unlike most books on information theory, it places emphasis on continuous communication systems, rather than discrete ones. |
| information theory and coding lecture notes: Information, Physics, and Computation Marc Mézard, Andrea Montanari, 2009-01-22 A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields. |
| information theory and coding lecture notes: A First Course in Coding Theory Raymond Hill, 1986 Algebraic coding theory is a new and rapidly developing subject, popular for its many practical applications and for its fascinatingly rich mathematical structure. This book provides an elementary yet rigorous introduction to the theory of error-correcting codes. Based on courses given by the author over several years to advanced undergraduates and first-year graduated students, this guide includes a large number of exercises, all with solutions, making the book highly suitable for individual study. |
| information theory and coding lecture notes: Information Theory James V Stone, 2024-11-25 Learn the fundamentals of information theory, including entropy, coding, and data compression, while exploring advanced topics like transfer entropy, thermodynamics, and real-world applications. Key Features A clear blend of foundational theory and advanced topics suitable for various expertise levels A focus on practical examples to complement theoretical concepts and enhance comprehension Comprehensive coverage of applications, including data compression, thermodynamics, and biology Book DescriptionThis book offers a comprehensive journey through the fascinating world of information theory, beginning with the fundamental question: what is information? Early chapters introduce key concepts like entropy, binary representation, and data compression, providing a clear and accessible foundation. Readers explore Shannon's source coding theorem and practical tools like Huffman coding to understand how information is quantified and optimized. Building on these basics, the book delves into advanced topics such as the noisy channel coding theorem, mutual information, and error correction techniques. It examines entropy in continuous systems, channel capacity, and rate-distortion theory, making complex ideas accessible through real-world examples. Connections between information and thermodynamics are also explored, including Maxwell’s Demon, the Landauer Limit, and the second law of thermodynamics. The final chapters tie information theory to biology and artificial intelligence, investigating its role in evolution, the human genome, and brain computation. With practical examples throughout, this book balances theoretical depth with hands-on learning, making it an essential resource for mastering information theory. A basic mathematical foundation will be beneficial but is not required to engage with the material.What you will learn Understand the core concepts of information theory Analyze entropy in discrete and continuous systems Explore Shannon's source and channel coding theorems Apply Huffman coding and data compression techniques Examine mutual information and its significance Relate thermodynamic entropy to information theory Who this book is for This book is perfect for students, engineers, and researchers in computer science, electrical engineering, physics, and related fields. A basic mathematical foundation will enhance understanding and ensure readers can fully grasp the concepts and their practical applications. |
| information theory and coding lecture notes: Information-Spectrum Methods in Information Theory Te Sun Han, 2013-04-18 From the reviews: This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets. Even with such generality the authors have managed to successfully reach a highly unconventional but very fertile exposition rendering new insights into many problems. -- MATHEMATICAL REVIEWS |
| information theory and coding lecture notes: Information Theory, Coding and Cryptography Arijit Saha, NilotPal Manna, Surajit Mandal, 2013 Information Theory, Coding & Cryptography has been designed as a comprehensive book for the students of engineering discussing Source Encoding, Error Control Codes & Cryptography. The book contains the recent developments of coded modulation, trellises for codes, turbo coding for reliable data and interleaving. The text balances the mathematical rigor with exhaustive amount of solved, unsolved questions along with a database of MCQs. |
| information theory and coding lecture notes: Reliability Criteria in Information Theory and in Statistical Hypothesis Testing Evgueni A. Haroutunian, Mariam E. Haroutunian, Ashot N. Harutyunyan, 2008 This monograph briefly formulates fundamental notions and results of Shannon theory on reliable transmission via coding and gives a survey of results obtained in last two-three decades by the authors. |
| information theory and coding lecture notes: Information And Complexity Mark Burgin, Cristian S Calude, 2016-11-28 The book is a collection of papers of experts in the fields of information and complexity. Information is a basic structure of the world, while complexity is a fundamental property of systems and processes. There are intrinsic relations between information and complexity.The research in information theory, the theory of complexity and their interrelations is very active. The book will expand knowledge on information, complexity and their relations representing the most recent and advanced studies and achievements in this area.The goal of the book is to present the topic from different perspectives — mathematical, informational, philosophical, methodological, etc. |
| information theory and coding lecture notes: Information Theory and Statistical Learning Frank Emmert-Streib, Matthias Dehmer, 2009 This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts. |
| information theory and coding lecture notes: The Theory of Information and Coding R. J. McEliece, 2004-07-15 Student edition of the classic text in information and coding theory |
| information theory and coding lecture notes: DIGITAL AND ANALOG COMMUNICATION SYSTEMS Shanmugam, 2006-08 About The Book: The book provides a detailed, unified treatment of theoretical and practical aspects of digital and analog communication systems, with emphasis on digital communication systems. It integrates theory-keeping theoretical details to a minimum-with over 60 practical, worked examples illustrating real-life methods. The text emphasizes deriving design equations that relate performance of functional blocks to design parameters. It illustrates how to trade off between power, band-width and equipment complexity while maintaining an acceptable quality of performance. Material is modularized so that appropriate portions can be selected to teach several different courses. The book also includes over 300 problems and an annotated bibliography in each chapter. |
| information theory and coding lecture notes: Uncertainty-Based Information George J. Klir, Mark J. Wierman, 2013-06-05 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. |
| information theory and coding lecture notes: Probability and Computing Michael Mitzenmacher, Eli Upfal, 2005-01-31 Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communication networks and secure protocols. This 2005 textbook is designed to accompany a one- or two-semester course for advanced undergraduates or beginning graduate students in computer science and applied mathematics. It gives an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It assumes only an elementary background in discrete mathematics and gives a rigorous yet accessible treatment of the material, with numerous examples and applications. The first half of the book covers core material, including random sampling, expectations, Markov's inequality, Chevyshev's inequality, Chernoff bounds, the probabilistic method and Markov chains. The second half covers more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods and balanced allocations. With its comprehensive selection of topics, along with many examples and exercises, this book is an indispensable teaching tool. |
| information theory and coding lecture notes: The Mathematical Theory of Communication Claude Elwood Shannon, Warren Weaver, 1971 |
| information theory and coding lecture notes: Graph Theory, Coding Theory and Block Designs P. J. Cameron, J. H. van Lint, 1975-09-18 These are notes deriving from lecture courses on the theory of t-designs and graph theory given by the authors in 1973 at Westfield College, London. |
| information theory and coding lecture notes: Foundations of Coding Jiri Adamek, 2011-02-14 Although devoted to constructions of good codes for error control, secrecy or data compression, the emphasis is on the first direction. Introduces a number of important classes of error-detecting and error-correcting codes as well as their decoding methods. Background material on modern algebra is presented where required. The role of error-correcting codes in modern cryptography is treated as are data compression and other topics related to information theory. The definition-theorem proof style used in mathematics texts is employed through the book but formalism is avoided wherever possible. |
| information theory and coding lecture notes: Introduction to Coding Theory Ron Roth, 2006-02-23 This 2006 book introduces the theoretical foundations of error-correcting codes for senior-undergraduate to graduate students. |
| information theory and coding lecture notes: Information Theory Imre Csiszár, János Körner, 2014-07-10 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. |
| information theory and coding lecture notes: Information Theory and Statistics Solomon Kullback, 2012-09-11 Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition. |
| information theory and coding lecture notes: 2015 Information Theory and Applications Workshop (ITA). Information Theory and Applications Workshop, Annotation Information theory and its applications. |
| information theory and coding lecture notes: Coding and Information Theory Richard Wesley Hamming, 1986 Focusing on both theory and practical applications, this volume combines in a natural way the two major aspects of information representation--representation for storage (coding theory) and representation for transmission (information theory). |
| information theory and coding lecture notes: Information theory Robert B. Ash, 1990 |
| information theory and coding lecture notes: Coding Theory D. G. Hoffman, 1991 A textbook for a two-quarter college course in coding theory for students of engineering, computer science, and mathematics, assuming only a good grounding in linear algebra. Unlike texts designed for mathematics majors, omits the general mathematic theories, and introduces the necessary mathematics |
| information theory and coding lecture notes: Introduction to Coding Theory Jurgen Bierbrauer, 2023-01-09 This book is designed to be usable as a textbook for an undergraduate course or for an advanced graduate course in coding theory as well as a reference for researchers in discrete mathematics, engineering and theoretical computer science. This second edition has three parts: an elementary introduction to coding, theory and applications of codes, and algebraic curves. The latter part presents a brief introduction to the theory of algebraic curves and its most important applications to coding theory. |
Provide information "on", "of" or "about" something?
Sep 15, 2020 · The documents contain information of great importance. The intercepted information was of little merit. This doesn't speak about the subject, the actual content of the …
plural forms - Information or Informations? - English Language …
May 28, 2014 · Information is a non-countable noun (you can't have 4 informations), so it is neither singular nor plural ...
grammaticality - Information on? for? about? - English Language ...
Aug 18, 2015 · The phrase "information for" can be used as well, but that generally means something different, and would be structured accordingly. – J.R. ♦ Commented Sep 17, 2015 at …
phrase meaning - "for your information" or "for your notification ...
Jun 17, 2016 · Consider, "For your information, I DO have a PHD in Warp Field Dynamics, and I have 21 years of experience working with star ship engines." When you hear this, you can tell …
word choice - "For your reference" or "For your information"
For your information (frequently abbreviated FYI) For your situational awareness (not as common, may be abbreviated FYSA) For reference; For future reference; For your information in the …
indian english - For your information or for your kind information ...
Jun 15, 2017 · When saying For your information, you are giving someone some information to 'keep' with their records, either physical or mental, so to speak. For your kind information …
What are other phrases for "full of information"?
Jan 24, 2022 · I'm thinking of the following: info-packed / information-packed knowledge-packed I guess these are grammatically acceptable but probably there are better choices.
"The information were successful updated." or "The information …
Jan 17, 2016 · "The information" is singular. Both . The information was successfully updated. and . The information was updated successfully. are correct. The word "successfully" is modifying …
word usage - English Language Learners Stack Exchange
Apr 4, 2017 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for …
difference - 'Inform about' vs 'Inform of' vs 'Inform on' - English ...
This question concerns 'inform on' also, and so doesn't duplicate inform about vs inform of (where user 'Maulik V' asserts the following that I edited): Inform her of X = Here, we are informing ...
Provide information "on", "of" or "about" something?
Sep 15, 2020 · The documents contain information of great importance. The intercepted information was of little merit. This doesn't speak about the subject, the actual content of the …
plural forms - Information or Informations? - English Language …
May 28, 2014 · Information is a non-countable noun (you can't have 4 informations), so it is neither singular nor plural ...
grammaticality - Information on? for? about? - English Language ...
Aug 18, 2015 · The phrase "information for" can be used as well, but that generally means something different, and would be structured accordingly. – J.R. ♦ Commented Sep 17, 2015 …
phrase meaning - "for your information" or "for your notification ...
Jun 17, 2016 · Consider, "For your information, I DO have a PHD in Warp Field Dynamics, and I have 21 years of experience working with star ship engines." When you hear this, you can tell …
word choice - "For your reference" or "For your information"
For your information (frequently abbreviated FYI) For your situational awareness (not as common, may be abbreviated FYSA) For reference; For future reference; For your information in the …
indian english - For your information or for your kind information ...
Jun 15, 2017 · When saying For your information, you are giving someone some information to 'keep' with their records, either physical or mental, so to speak. For your kind information …
What are other phrases for "full of information"?
Jan 24, 2022 · I'm thinking of the following: info-packed / information-packed knowledge-packed I guess these are grammatically acceptable but probably there are better choices.
"The information were successful updated." or "The information …
Jan 17, 2016 · "The information" is singular. Both . The information was successfully updated. and . The information was updated successfully. are correct. The word "successfully" is modifying …
word usage - English Language Learners Stack Exchange
Apr 4, 2017 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for …
difference - 'Inform about' vs 'Inform of' vs 'Inform on' - English ...
This question concerns 'inform on' also, and so doesn't duplicate inform about vs inform of (where user 'Maulik V' asserts the following that I edited): Inform her of X = Here, we are informing ...
