Pattern Recognition and Prediction with Applications to Signal Processing Modern Acoustics and Signal Processing

This book begins by focusing on the theoretical aspect of pattern recognition and introduces an integrated pattern recognition paradigm, which combines preprocessing, low dimensional signal characterization, feature optimization, and mapping classifier architecture to good features in a seamless fashion.

Later, the authors reinforce the concepts of pattern recognition and prediction with challenging realworld examples, encompassing financial market prediction, image coding, active and passive sonar processing, chaos modeling, and intelligent product design.