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Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)

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A comprehensive reference book for practical engineers and researchers focusing on neural network applications on signal processing, this text concerns itself with a vast array of signals. Among included signals, readers will find information on audio, video, speech, communication, geophysical, sonar, radar and medical signals. Written for those at the professional and academics levels, as well as for those in both graduate and undergraduate study, this book provides a detailed treatment of neural networks for signal processing.

The field of artificial neural networks has made tremendous progress in the past 20 years in terms
of theory, algorithms, and applications. Notably, the majority of real world neural network applications
have involved the solution of difficult statistical signal processing problems. Compared to
conventional signal processing algorithms that are mainly based on linear models, artificial neural
networks offer an attractive alternative by providing nonlinear parametric models with universal
approximation power, as well as adaptive training algorithms. The availability of such powerful
modeling tools motivated numerous research efforts to explore new signal processing applications
of artificial neural networks. During the course of the research, many neural network paradigms were
proposed. Some of them are merely reincarnations of existing algorithms formulated in a neural
network-like setting, while the others provide new perspectives toward solving nonlinear adaptive
signal processing. More importantly, there are a number of emergent neural network paradigms that
have found successful real world applications.

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Image Fusion: Theories, Techniques and Applications
Image Fusion: Theories, Techniques and Applications

This textbook provides a comprehensive introduction to the theories, techniques and applications of image fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science. It should also be useful to practicing engineers who wish to learn the concepts of image fusion and use them in...

Software Engineering Techniques: Design for Quality
Software Engineering Techniques: Design for Quality

The aim of software engineering is to find methods for developing high quahty software products at a reasonable cost. As more and more computers are being used in areas in which a malfunction of the system can be a source of serious losses or disturbances to the functioning of the society, the quality of software becomes more and more...

Interactions Between Computational Intelligence and Mathematics Part 2 (Studies in Computational Intelligence)
Interactions Between Computational Intelligence and Mathematics Part 2 (Studies in Computational Intelligence)

This book presents recent research in the field of interaction between computational intelligence and mathematics. In the current technological age, we face the challenges of tackling very complex problems – in the usual sense, but also in the mathematical and theoretical computer science sense. However, even the most...


Neural Network Design and the Complexity of Learning
Neural Network Design and the Complexity of Learning

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.

Judd looks beyond the scope
...

Power Programming With Mathematica: The Kernel (Programming Tools for Scientists & Engineers)
Power Programming With Mathematica: The Kernel (Programming Tools for Scientists & Engineers)

Power Programming with Mathematica: The Kernel offers you a self-contained overview of this high-level language, featuring real-world programming tips and techniques - plus an accompanying disk with an array of advanced programming examples, utilities, and supported exercises.

Filled with programming-related examples and...

Nitty Gritty Delphi 6
Nitty Gritty Delphi 6
Discover Object Pascal, the basis for Borland's Delphi 6 development environment, and get togrips with it quickly. Addison-Wesley's Nitty Gritty Delphi 6 leads you right to the core ofDelphi. The author, Frank Eller, tells you about the most important classes and components.Thanks to the many examples in the practical...
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