Model-Based Signal Processing
暫譯: 基於模型的信號處理

Model-Based Signal Processing develops the "model-based approach" to signal processing for a variety of useful model sets including the popularly termed "physics-based" models. It presents a unique viewpoint of signal processing from the model-based perspective. A wide variety of case studies are included to demonstrate the applicability of the approach to real-world problems.

This book presents a unified treatment of the model-based approach and includes numerous case studies to demonstrate applicability of method to real-world situations, as well as MATLAB notes.

Table of Contents

Preface.

Acknowledgments.

1. Introduction.

2. Discrete Random Signals ans Systems.

3. Estimation Theory.

4. AR, MA, ARMAX, Lattice, Exponential, Wave Model-Based Processors.

5. Linear State-Space Model-Based Processors.

6. Nonlinear State-Space Model-Based Processors.

7. Adaptive AR, MA, ARMAX, Exponential Model-Based Processors.

8. Adaptive State-Space Model-Based Processors.

9. Applied Physics-Based Processors.

Appendix A: Probability and Statistics Overview.

Appendix B: Sequential MBP and UD-Factorization.

Appendix C: SSpack_PC: An Interactive Model-Based Processing Software Package.

Index.