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

Timothy Masters (Author)

Book Description

Publication Date: July 1994 | ISBN-10: 0471049638 | ISBN-13: 978-0471049630 | Edition: 1

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

From the Publisher

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.

Product Details

• Paperback: 417 pages
• Publisher: Wiley; 1 edition (July 1994)
• Language: English
• ISBN-10: 0471049638
• ISBN-13: 978-0471049630
• Product Dimensions: 9.2 x 7.5 x 1.1 inches
• Shipping Weight: 1.6 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,472,200 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews

11 of 11 people found the following review helpful:

5.0 out of 5 stars Best C++ Source Code available for MLFN., June 29, 2001

By 

J. Wrenholt (Lincoln, NE United States) - See all my reviews
(REAL NAME)   

This review is from: Signal and Image Processing with Neural Networks: A C++ Sourcebook (Paperback)

"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.