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Handbook of NEURAL NETWORK SIGNAL PROCESSING 11 Learning and Adapitive Characterization of Visual Contents in Image Retrieval Systems by Mohammad Ilyas, Imad Mahgoub is a nonfiction available to read on EtoBox.

What is Handbook of NEURAL NETWORK SIGNAL PROCESSING 11 Learning and Adapitive Characterization of Visual Contents in Image Retrieval Systems about?

<p>The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view.</p> <p>The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.</p>

Who reads Handbook of NEURAL NETWORK SIGNAL PROCESSING 11 Learning and Adapitive Characterization of Visual Contents in Image Retrieval Systems?

Author

Mohammad Ilyas, Imad Mahgoub

Publisher

CRC Press LLC

Published

2001

Language

EN

ISBN

9781280614743

Category

nonfiction

Subjects

Technology, Science, Engineering