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Handbook of Neural Network Signal Processing PDF

384 Pages·2001·12.923 MB·English
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by Mohammad Ilyas, Imad Mahgoub| 2001| 384 pages| 12.923| English

About Handbook of Neural Network Signal Processing

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.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.

Detailed Information

Author:Mohammad Ilyas, Imad Mahgoub
Publication Year:2001
ISBN:849319684
Pages:384
Language:English
File Size:12.923
Format:PDF
Price:FREE
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