The authors cover basic principles, modeling, algorithms, architecture s, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medic al, and many other signals. The subject of neural networks and their a pplication to signal processing is constantly improving. You need a ha ndy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.