Synopses & Reviews
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.
Table of Contents
The Role of Neural Networks in Signal and Image Processing.
Neurons in the Complex Domain.
Data Preparation for Neural Networks.
Frequency-Domain Techniques.
Time/Frequency Localization.
Time/Frequency Applications.
Image Processing in the Frequency Domain.
Moment-Based Image Features.
Tone/Texture Descriptors.
Using the MLFN Program.
Appendix.
Bibliography.
Index.