Signal and Image Processing with Neural Networks: A C++ SourceBook

Signal and Image Processing with Neural Networks: A C++ SourceBook

by Timothy Masters
     
 

Demonstrates how neural networks can be used to aid in the solution of digital signal processing (DSP) or imaging problems. A large section is devoted to the design and training of complex-domain multiple-layer feedforward networks (MLFNs)—all essential equations are presented and justified. Reviews the most popular signal- and image-processing algorithms,

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Overview

Demonstrates how neural networks can be used to aid in the solution of digital signal processing (DSP) or imaging problems. A large section is devoted to the design and training of complex-domain multiple-layer feedforward networks (MLFNs)—all essential equations are presented and justified. Reviews the most popular signal- and image-processing algorithms, emphasizing those that are particularly suitable for union to complex-domain neural networks. Features a wide variety of problems for which complex-domain networks significantly outperform their real-domain counterparts. The accompanying disk includes complete source code for algorithms discussed with full source for program examples.

Editorial Reviews

Booknews
Provides coverage of complex-domain neural networks, and presents the only detailed description in print of standard multiple- layer feedforward networks generalized to the complex domain. C++ subroutines are provided for all techniques, and the discussion of data preparation for neural networks focuses on special requirements for signal and image processing. An accompanying disk includes C++ source code for a wide variety of signal and image algorithms as well as a complex-domain neural network training and testing system. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9780471049630
Publisher:
Wiley
Publication date:
07/11/1994
Pages:
417
Product dimensions:
7.47(w) x 9.17(h) x 1.06(d)

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