WorldCat Identities

Haykin, Simon S. 1931-

Works: 176 works in 975 publications in 7 languages and 18,190 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor, Other, Contributor, Creator, ed
Classifications: TK5101, 621.382
Publication Timeline
Most widely held works by Simon S Haykin
Digital communications by Simon S Haykin( Book )

135 editions published between 1978 and 2014 in 5 languages and held by 2,285 WorldCat member libraries worldwide

This title offers the most complete discussion on the theories and principles behind today's most advanced communications systems. Throughout, the authors emphasise the statistical underpinnings of communication theory in a complete and detailed manner
Neural networks : a comprehensive foundation by Simon S Haykin( Book )

52 editions published between 1994 and 2007 in 3 languages and held by 1,273 WorldCat member libraries worldwide

"This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks." "Written in a concise and fluid manner, by a foremost engineering textbook author, to make the material more accessible, this book is ideal for professional engineers and graduate students entering this exciting field. Computer experiments, problems, worked examples, a bibliography, photographs, and illustrations reinforce key concepts."--Jacket
Adaptive filter theory by Simon S Haykin( Book )

67 editions published between 1459 and 2014 in English and Undetermined and held by 1,271 WorldCat member libraries worldwide

Examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR), and the elements of supervised neural networks. For use on undergraduate courses in adaptive signal processing, this edition has been updated and refined
Signals and systems by Simon S Haykin( Book )

40 editions published between 1998 and 2013 in English and Chinese and held by 656 WorldCat member libraries worldwide

Design and MATLAB concepts have been integrated in text. Integrates applications as it relates signals to a remote sensing system, a controls system, radio astronomy, a biomedical system and seismology
An introduction to analog and digital communications by Simon S Haykin( Book )

36 editions published between 1989 and 2012 in English and held by 573 WorldCat member libraries worldwide

"Simon Haykin and Michael Moher's Second Edition of Introduction to Analog and Digital Communications offers an accessible introduction to analog and digital communications and serves as an introductory treatment of communication theory. It is filled with an abundance of insightful examples, problems, and computer experiments. Throughout the text, the authors emphasize the practical relevance of the theory wherever appropriate, and keep the mathematical treatment at an easy-to-grasp level."--Jacket
Nonlinear methods of spectral analysis by Simon S Haykin( Book )

28 editions published between 1979 and 1985 in English and Italian and held by 526 WorldCat member libraries worldwide

Adaptive radar signal processing by Tülay Adali( Book )

39 editions published between 1991 and 2010 in English and Undetermined and held by 440 WorldCat member libraries worldwide

"This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results, described by the researchers themselves, have profound implications for defense-related signal processing and remote sensing."--Jacket
Array signal processing( Book )

9 editions published in 1985 in English and Undetermined and held by 418 WorldCat member libraries worldwide

Neural networks and learning machines by Simon S Haykin( Book )

29 editions published between 2007 and 2011 in English and held by 350 WorldCat member libraries worldwide

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently
Transistor circuits in electronics: basic principles for amplifier, oscillator and switching applications, including an introduction to integrated circuits by Simon S Haykin( Book )

21 editions published between 1964 and 1971 in 3 languages and held by 311 WorldCat member libraries worldwide

Introduction to adaptive filters by Simon S Haykin( Book )

9 editions published between 1984 and 1987 in English and Japanese and held by 299 WorldCat member libraries worldwide

Kalman filtering and neural networks by Simon S Haykin( Book )

17 editions published between 2001 and 2004 in English and held by 281 WorldCat member libraries worldwide

State-of-the-art coverage of Kalman filter methods for the design of neural networksThis self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover:*An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF)*Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes*The dual estimation problem*Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm*The unscented Kalman filterEach chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems
New directions in statistical signal processing : from systems to brain by Simon S Haykin( Book )

21 editions published between 2006 and 2016 in English and held by 217 WorldCat member libraries worldwide

Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields
Least-mean-square adaptive filters by Simon S Haykin( Book )

11 editions published between 2002 and 2005 in English and held by 181 WorldCat member libraries worldwide

Intelligent signal processing by Simon S Haykin( Book )

20 editions published between 1998 and 2001 in English and held by 179 WorldCat member libraries worldwide

Cognitive dynamic systems : perception--action cycle, radar, and radio by Simon S Haykin( Book )

10 editions published in 2012 in English and held by 162 WorldCat member libraries worldwide

"The principles of cognition are becoming increasingly important in the areas of signal processing, communications and control. In this groundbreaking book, Simon Haykin, a pioneer in the field and an award-winning researcher, educator and author, sets out the fundamental ideas of cognitive dynamic systems. Weaving together the various branches of study involved, he demonstrates the power of cognitive information processing and highlights a range of future research directions. The book begins with a discussion of core topics such as cognition and sensing, dealing, in particular, with the perception-action cycle. Bayesian filtering, machine learning and dynamic programming are then addressed. Building on these foundations, there is detailed coverage of two important practical applications, cognitive radar and cognitive radio. Blending theory and practice, this insightful book is aimed at all graduate students and researchers looking for a thorough grounding in this fascinating field"--
Multiple-input multiple-output channel models : theory and practice by Nelson Costa( Book )

15 editions published in 2010 in English and held by 137 WorldCat member libraries worldwide

"A complete discussion of MIMO communications, from theory to real-world applications. The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemented into hardware and working its way into wireless standards such as the ubiquitous 802.11g, as well as third- and fourth-generation cellular standards. Multiple-Input Multiple-Output Channel Models uniquely brings together the theoretical and practical aspects of MIMO communications, revealing how these systems use their multipath diversity to increase channel capacity. It gives the reader a clear understanding of the underlying propagation mechanisms in the wideband MIMO channel, which is fundamental to the development of communication algorithms, signaling strategies, and transceiver design for MIMO systems. MIMO channel models are important tools in understanding the potential gains of a MIMO system. This book discusses two types of wideband MIMO models in detail: correlative channel models--specifically the Kronecker, Weichselberger, and structured models--and cluster models, including Saleh-Valenzuela, European Cooperation in the field of Scientific and Technical Research (COST) 273, and Random Cluster models. From simple to complex, the reader will understand the models' mechanisms and the reasons behind the parameters. Next, channel sounding is explained in detail, presenting the theory behind a few channel sounding techniques used to sound narrowband and wideband channels. The technique of digital matched filtering is then examined and, using real-life data, is shown to provide very accurate estimates of channel gains. The book concludes with a performance analysis of the structured and Kronecker models. Multiple-Input Multiple-Output Channel Models is the first book to apply tensor calculus to the problem of wideband MIMO channel modeling. Each chapter features a list of important references, including core literary references, Matlab implementations of key models, and the location of databases that can be used to help in the development of new models or communication algorithms. Engineers who are working in the development of telecommunications systems will find this resource invaluable, as will researchers and students at the graduate or post-graduate level."--Publisher's website
Handbook on array processing and sensor networks by Simon S Haykin( Book )

18 editions published between 2009 and 2010 in English and Undetermined and held by 136 WorldCat member libraries worldwide

A handbook on recent advancements and the state of the art in array processing and sensor Networks. Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks. Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path env
Kernel adaptive filtering : a comprehensive introduction by J. C Príncipe( Book )

17 editions published between 2010 and 2014 in English and held by 130 WorldCat member libraries worldwide

Online learning from a signal processing perspective. There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada
Space-time layered information processing for wireless communications by Mathini Sellathurai( Book )

8 editions published in 2009 in English and held by 99 WorldCat member libraries worldwide

"This book presents cutting-edge research in wireless communications, particularly in the fast-growing subject of multiple-input multiple-output (MIMO) wireless communication systems. It begins with an introduction, which includes historical notes and a review of turbo-information processing and MIMO wireless communications."--Jacket
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Neural networks : a comprehensive foundation
Alternative Names
Hakim, Sahir Sahir

Hakim, Sahir Sahir 1931-

Haykin, S.

Haykin, S. 1931-

Haykin, S. S.

Haykin, S. S. 1931-

Haykin, S. S. (Simon S.)

Haykin, S. S. (Simon S.), 1931-

Haykin, S. (Simon)

Haykin, S. (Simon), 1931-

Haykin, S. (Simon S.), 1931-

Haykin, Simon.

Haykin, Simon 1931-

Haykin, Simon S.

Haykin, Simon S. 1931-...

Haykin, Simon Saher 1931-

Хайкин, Саймон 1931-

헤이킨, 사이몬 S. 1931-

헤이킨, 시몬 1931-

ハイキン, シモン

ヘイキン, S

ヘイキン, サイモン

ヘイキン, シモン

Neural networks : a comprehensive foundationAdaptive filter theorySignals and systemsAn introduction to analog and digital communicationsAdaptive radar signal processingNeural networks and learning machinesKalman filtering and neural networksNew directions in statistical signal processing : from systems to brain