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

by Timothy Masters

Book 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...

• Format: Paperback
• Language: English
• ISBN: 0471049638
• ISBN13: 9780471049630
• Release Date: July 1994
• Publisher: Wiley
• Length: 417 Pages
• Weight: 1.70 lbs.
• Dimensions: 1.1" x 7.5" x 9.2"

Customer Reviews

Best C++ Source Code available for MLFN.

"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.