This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.

Fundamentals of Error Correcting Codes is an in-depth introduction to coding theory from both an engineering and mathematical viewpoint. As well as covering classical topics, there is much coverage of techniques which could only be found in specialist journals and book publications. Numerous exercises and examples and an accessible writing style make this a lucid and effective introduction to coding theory for advanced undergraduate and graduate students, researchers and engineers, whether approaching the subject from a mathematical, engineering or computer science background.

This book - an outgrowth of a topical summer school - sets out to introduce non-specialists from physics and engineering to the basic mathematical concepts of approximation and Fourier theory. After a general introduction, Part II of this volume contains basic material on the complex and harmonic analysis underlying the further developments presented. Part III deals with the essentials of approximation theory while Part IV completes the foundations by a tour of probability theory. Part V reviews some major applications in signal and control theory. In Part VI mathematical aspects of dynamical systems theory are discussed. Part VII, finally, is devoted to a modern approach to two physics problems: turbulence and the control and noise analysis in gravitational waves measurements.

Contemporary epistemological and cognitive studies, as well as recent trends in computer science and game theory have revealed an increasingly important and intimate relationship between Information, Interaction, and Agency.

Agents perform actions based on the available information and in the presence of other interacting agents. From this perspective Information, Interaction, and Agency neatly ties together classical themes like rationality, decision-making and belief revision with games, strategies and learning in a multi-agent setting.

Unified by the central notions Information, Interaction, and Agency, the essays in this volume provide refreshing methodological perspectives on belief revision, dynamic epistemic logic, von Neumann games, and evolutionary game theory; all of which in turn are central approaches to understanding our own rationality and that of other agents.

Reprinted from Synthese, 139:2 and 142:2 (2004), Special Section Knowledge, Rationality, and Action.

Die Kryptologie, eine jahrtausendealte "Geheimwissenschaft," gewinnt zusehends praktische Bedeutung fur den Schutz von Kommunikationswegen, Datenbanken und Software. Neben ihre Nutzung in rechnergestutzten offentlichen Nachrichtensystemen ("public keys") treten mehr und mehr rechnerinterne Anwendungen, wie Zugriffsberechtigungen und der Quellenschutz von Software. - Der erste Teil des Buches behandelt die Geheimschriften und ihren Gebrauch - die Kryptographie. Dabei wird auch auf das aktuelle Thema "Kryptographie und Grundrechte des Burgers" eingegangen. Im zweiten Teil wird das Vorgehen zum unbefugten Entziffern einer Geheimschrift - die Kryptanalyse - besprochen, wobei insbesondere Hinweise zur Beurteilung der Verfahrenssicherheit gegeben werden. Mit der vorliegenden dritten Auflage wurde das Werk auf den neuesten Stand gebracht. - Das Buch setzt nur mathematische Grundkenntnisse voraus. Mit einer Fulle spannender, lustiger und bisweilen anzuglicher Geschichten aus der historischen Kryptologie gewurzt, ist es auch fur Laien reizvoll zu lesen."

Auction theory is now an important component of an economist's training. The techniques and insights gained from the study of auction theory provide a useful starting point for those who want to venture into the economics of information, mechanism design, and regulatory economics. This book provides a step-by-step, self-contained treatment of the theory of auctions. It allows students and readers with a calculus background to work through all the basic results, covering the basic independent-private-model; the effects of introducing correlation in valuations on equilibrium behaviour and the seller's expected revenue; mechanism design; and the theory of multi-object auctions.

This is a revised edition of McEliece's classic, published with students in mind. It is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Then, following the main results, the channel and source coding theorems, there is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution. The exposition will be easily comprehensible to readers with some prior knowledge of probability and linear algebra. Previous Edition Hb (2002): 0-521-00095-5

This book is a useful text for advanced students of MIS and ICT courses, and for those studying ICT in related areas: Management and Organization Studies, Cultural Studies, and Technology and Innovation. As ICTs permeate every sphere of society - business, education, leisure, government, etc. - it is important to reflect the character and complexity of the interaction between people and computers, between society and technology. For example, the user may represent a much broader set of actors than 'the user' conventionally found in many texts: the operator, the customer, the citizen, the gendered individual, the entrepreneur, the 'poor', the student. Each actor uses ICT in different ways. This book examines these issues, deploying a number of methods such as Actor Network Theory, Socio-Technical Systems, and phenomenological approaches. Management concerns about strategy and productivity are covered together with issues of power, politics, and globalization. Topics range from long-standing themes in the study of IT in organizations such as implementation, strategy, and evaluation, to general analysis of IT as socio-economic change A distinguished group of contributors, including Bruno Latour, Saskia Sassen, Robert Galliers, Frank Land, Ian Angel, and Richard Boland, offer the reader a rich set of perspectives and ideas on the relationship between ICT and society, organizational knowledge and innovation.

This book provides an elementary introduction to Information Theory and Coding Theory - two related aspects of the problem of how to transmit information efficiently and accurately. The first part of the book focuses on Information Theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon's Fundamental Theorem. In the second part, on Coding Theory, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes.The book emphasises carefully explained proofs and worked examples; exercises (with solutions) are integrated into the text as part of the learning process. Only some basic probability theory and linear algebra, together with a little calculus (as covered in most first-year university syllabuses), is assumed, making it suitable for second- and third-year undergraduates in mathematics, electronics and computer science.

Computer Media and Communication: A Reader is a collection of key texts selected for their significance to thought about computers as media. The book is divided into two parts. The chapters in the first part offer a chronological overview of how thinking about computers as a means of communication developed, while the second part offers far-reaching analyses of the implications of computer media for culture and society, while highlighting significant directions of current research. The book not only provides an insight into how thinking about computers as media has developed but also is an excellent guide for students and others interested in the field of media and communication studies. (This book is the first in the Oxford Readers in Media and Communication series under the General Editorship of Professors Brian Winston and Everette Dennis which will be an authoritative wide-ranging series of readings for media students. There are more than eighty institutions in the UK offering courses in the field at present and in the USA this number is ten times as great.)

The development of interpersonal skills in all health professions is of increasing interest to a wide range of teachers, students, practioners and managers. This expanded and revised edition, includes further information on reflection and counselling, and provides many activities and exercises to help the reader to devise learning strategies in the interpersonal domain. The author draws on a range of literature and research to provide a guide to teaching and learning interpersonal skills. This guide offers both the theory and practice of how to draw on people's life experience in order to enhance their interpersonal skills. Chapters are included on educational theory, managing learning groups and curriculum design. Short sections called "activities for improving interpersonal skills" provide brief exercises and tips that can further develop skills. Teachers, students, practioners and managers in all health professions should find this book useful in acquiring interpersonal skills.

Error correcting codes is an area which has vital importance for the development of signal processing over the next 20 years. The purpose of this book is to provide a theoretical and practical introduction to the subject of error correcting codes. This textbook is a reprint of Chapters 1-20 of the original hardback edition. It provides the reader with the tools necessary to implement modern error-processing schemes, and only a basic knowledge of linear algebra is assumed. More elementary than any of the other books of the same subject, it will be considerably easier for most graduate students to follow. All the necessary mathematics is developed in parallel with the applications. The author has provided a simple step-by-step approach, with worked examples which motivate and explain the theory.

In this work noisy information is studied in the context of computational complexity - in other words it deals with the computational complexity of mathematical problems for which available information is partial, noisy and priced. The author develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications; deterministic as well as stochastic noise is considered. He presents optimal algorithms, optimal information, and complexity bounds in different settings: worst case, average case, mixed worst-average and average-worst, and asymptotic. Particular topics include: existence of optimal linear (affine) algorithms, optimality properties of smoothing spline, regularization and least squares algorithms (with the optimal choice of the smoothing and regularization parameters), adaption versus nonadaption, relations between different settings. The book integrates the work of researchers since the mid-1980s in such areas as computational complexity, approximation theory and statistics, and includes many new results.

Whilst a great deal of progress has been made in recent decades, concerns persist about the course of the social sciences. Progress in these disciplines is hard to assess and core scientific goals such as discovery, transparency, reproducibility, and cumulation remain frustratingly out of reach. Despite having technical acumen and an array tools at their disposal, today's social scientists may be only slightly better equipped to vanquish error and construct an edifice of truth than their forbears - who conducted analyses with slide rules and wrote up results with typewriters. This volume considers the challenges facing the social sciences, as well as possible solutions. In doing so, we adopt a systemic view of the subject matter. What are the rules and norms governing behavior in the social sciences? What kinds of research, and which sorts of researcher, succeed and fail under the current system? In what ways does this incentive structure serve, or subvert, the goal of scientific progress?

Whilst a great deal of progress has been made in recent decades, concerns persist about the course of the social sciences. Progress in these disciplines is hard to assess and core scientific goals such as discovery, transparency, reproducibility, and cumulation remain frustratingly out of reach. Despite having technical acumen and an array tools at their disposal, today's social scientists may be only slightly better equipped to vanquish error and construct an edifice of truth than their forbears - who conducted analyses with slide rules and wrote up results with typewriters. This volume considers the challenges facing the social sciences, as well as possible solutions. In doing so, we adopt a systemic view of the subject matter. What are the rules and norms governing behavior in the social sciences? What kinds of research, and which sorts of researcher, succeed and fail under the current system? In what ways does this incentive structure serve, or subvert, the goal of scientific progress?

Combining clear explanations of elementary principles, advanced topics and applications with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier transform, z-transform, discrete Fourier transform and FFT, A/D conversion, and FIR and IIR filtering algorithms, as well as more advanced topics such as multirate systems, the discrete cosine transform and spectral signal processing. Over 600 full-color illustrations, 200 fully worked examples, hundreds of end-of-chapter homework problems and detailed computational examples of DSP algorithms implemented in MATLAB (R) and C aid understanding, and help put knowledge into practice. A wealth of supplementary material accompanies the book online, including interactive programs for instructors, a full set of solutions and MATLAB (R) laboratory exercises, making this the ideal text for senior undergraduate and graduate courses on digital signal processing.

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine learning, and statistics.

A "New York Times" Notable Book
A "Los Angeles Times "and "Cleveland Plain Dealer" Best Book of the Year
Winner of the PEN/E. O. Wilson Literary Science Writing Award
From the bestselling author of the acclaimed "Chaos "and "Genius" comes a thoughtful and provocative exploration of the big ideas of the modern era: Information, communication, and information theory.
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Acclaimed science writer James Gleick presents an eye-opening vision of how our relationship to information has transformed the very nature of human consciousness. A fascinating intellectual journey through the history of communication and information, from the language of Africa's talking drums to the invention of written alphabets; from the electronic transmission of code to the origins of information theory, into the new information age and the current deluge of news, tweets, images, and blogs. Along the way, Gleick profiles key innovators, including Charles Babbage, Ada Lovelace, Samuel Morse, and Claude Shannon, and reveals how our understanding of information is transforming not only how we look at the world, but how we live.

Foreword by Professor Annemaree Lloyd, Swedish School of Library and Information Science, University of Boras Today's society is characterized by quick technological developments and constant changes to our information environments. One of the biggest changes has been on our workplace environments where technological developments have automated work processes that were previously done by manual labour whilst new professions and work tasks have emerged in response to new methods of creating, sharing and using information. Information at Work: Information management in the workplace provides a comprehensive account of information in the modern workplace. It includes a set of chapters examining and reviewing the major concepts within workplace information, from over-arching themes of information cultures and ecologies, to strategic concerns of information management and governance, and to detailed accounts of questions and current debates. This book will be useful reading for researchers in Information Science and Information Management and students on related courses. It is also suitable to be used as an introductory text for those working in allied fields such as Management and Business Studies.

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely "from scratch" based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scalable, and robust communication protocols for future wireless networks, as well as graduate students in these fields.

This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations.