Pattern Recognition and Prediction with Applications to Signal Processing / Edition 1

by David H. Kil, Frances B. Shin

Overview

Market: Engineers and researchers in neural networks, image processing, audio/speech, and medical imaging. 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 real- world examples, encompassing financial market prediction, image coding, active and passive sonar processing, chaos modeling, and intelligent product design.

Product Details

ISBN-13:	9781563964770
Publisher:	American Inst. of Physics
Publication date:	02/18/1998
Series:	Modern Acoustics and Signal Processing
Edition description:	1996
Pages:	418
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Contents: 1. Introduction. 2. Data Projection. 3. Feature Extraction and Optimization. 4. Classifier Architecture. 5. Hidden Markov Models. 6. Hierarchical and Hybrid Classification. 7. Pattern Recognition Summary. 8. Bioreject. 9. Reduced Dimension Image Compression. 10. Full Spectrum Signal Processing. 11. LFA Echo Characterization. 12. Nonlinear System Modeling with HMM. 13. Prediction and Trend Analysis. 14. Knowledge Creation in Business.

Editorial Reviews

Pattern recognition encompasses many disciplines in digital signal processing and can be applied to biomedical engineering, trend analysis, market forecasting, and signal classification, among other fields. The authors of this volume advocate an integrated and systematic approach that spans adaptive filtering to spatial tracking to data fusion. Coverage includes the fundamental concepts, some application examples, and real-time implementation and performance optimization. Intended for a course at the first-year graduate level. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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