Heijden F.V., Duin R.P.W., Ridder D., Tax D.M.J. Classification, Parameter Estimation and State Estimation: An Engineering Approach using MatLAB

Chichester, Great Britain: John Wiley & Sons Ltd, 2004. - 434 p.In a sense, classification and estimation deal with the same problem: given the measurement signals from the environment, how can the information that is needed for a system to operate in the real world be inferred? In other words, how should the measurements from a sensory system be processed in order to bring maximal information in an explicit and usable form? This is the main topic of this book.ForewordDetection and Classification
Parameter Estimation
State Estimation
Supervised Learning
Feature Extraction and Selection
Unsupervised Learning
State Estimation in Practice
Worked Out Examples
Appendix
Functional Analysis
Linear Algebra and Matrix Theory
Probability Theory
Discrete-time Dynamic Systems
Introduction to PRTools
MatLAB Toolboxes Used