Pattern recognition and prediction with applications to signal characterization
David H. Kil, F.B. Shin · AIP Press eBooks · 1996
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.