Signal and Image Processing With Neural Networks: A C++...

Features

• Cover Type: Paperback with 417 pages
• Published by: John Wiley & Sons; Pap/Dsk edition July 1994
• Written in: English
• ISBN 10 Number: 0471049638
• ISBN 13 Number: 978-0471049630
• Book Dimensions: 9.2 x 7.5 x 1.1 inches
• Weighs: 1.6 pounds

The publisher, John Wiley & Sons
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.

Reader Reviews
"The principal focus of this book is the multiple-layer feedforward network (MLFN)." This network is the most common and most used type of neural network. I have all of Masters books and this is his best presentation and source code for the MLFN. Chaper 2. of the book is about a complex number version of the MLFN, but it also includes the common real number versions. Other chapters on Data Preparation, Frequency-Domain, Time/Frequency Localization (Gabor Transform, Fourier Transform, Morlet Wavelets) and applications. The C++ source code is easy to compile, understand and use. Includes simulated annealing, conjugate gradient algorithms and hybrid learning methods. Comment | | (Report this)