 Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB
ISBN: 978-0-470-09013-8
Hardcover
440 pages
November 2004
US $140.00
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Preface.
Foreword.
1. Introduction.
2. Detection and Classification.
3. Parameter Estimation.
4. State Estimation.
5. Supervised Learning.
6. Feature Extraction and Selection.
7. Unsupervised Learning.
8. State Estimation in Practice.
9. Worked Out Examples.
Appendix A: Topics Selected from Functional Analysis.
Appendix B: Topics Selected from Linear Algebra and Matrix Theory.
Appendix C: Probability Theory.
Appendix D: Discrete-time Dynamic Systems.
Appendix E: Introduction to PRTools.
Appendix F: Used MATLAB Toolboxes.
Index.
