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CONTENTSPrefaceAcknowledgmentsBackground and Preview Chapter 1 Stochastic Processes and Models Chapter 2 Wiener Filters Chapter 3 Linear Prediction Chapter 4 Method of Steepest Descent Chapter 5 Least-Mean-Square Adaptive Filters Chapter 6 Normalized Least-Mean-Square Adaptive Filters Chapter 7 Frequency-Domain and Subband Adaptive Filters Chapter 8 Method of Least Squares Chapter 9 Recursive Least-Square Adaptive Filters Chapter 10 Kalman Fil...

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Describes the latest remote sensing technologies used to detect ice hazards in the marine environment, map surface currents, sea-state and surface winds, study ice dynamics, over ice transportation, oil spill countermeasures, climate changes and ice reconnaisance.

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.

For courses in Adaptive Filters.Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

A landmark text in LMS filter technology-- from the field's leading authorities In the field of electrical engineering and signal processing, few algorithms have proven as adaptable as the least-mean-square (LMS) algorithm. Devised by Bernard Widrow and M. Hoff, this simple yet effective algorithm now represents the cornerstone for the design of adaptive transversal (tapped-delay-line) filters. Today, working efficiently with LMS adaptive fi...

A complete, one-stop reference on the state of the art of unsupervised adaptive filtering While unsupervised adaptive filtering has its roots in the 1960s, more recent advances in signal processing, information theory, imaging, and remote sensing have made this a hot area for research in several diverse fields. This book brings together cutting-edge information previously available only in disparate papers and articles, presenting a thorough ...

Offers the most complete, up-to-date coverage available on the principles of digital communications. Focuses on basic issues, relating theory to practice wherever possible. Numerous examples, worked out in detail, have been included to help the reader develop an intuitive grasp of the theory.

State-of-the-art coverage of Kalman filter methods for the design of neural networks This 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 introduc...

An Exploration of Key Issues Integral to the Design of Adaptive Radar Systems 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 proces...

A groundbreaking book from Simon Haykin, setting out the fundamental ideas and highlighting a range of future research directions.

A highly accessible and applied introduction to communication theory 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 pr...

IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that it models the input-out-put behavior of a complex system by using "intelligent" or "model-free" techniques rather than relying on the shortcomings of a mathematical model. ISP systems extract information from incoming sign...

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...

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Offers the most complete, up-to-date coverage available on the principles of digital communications. Focuses on basic issues, relating theory to practice wherever possible. Numerous examples, worked out in detail, have been included to help the reader develop an intuitive grasp of the theory. Topics covered include the sampling process, digital modulation techniques, error-control coding, robust quantization for pulse-code modulation, coding s...