Description
Book SynopsisModel-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.
Trade Review"Given its extensive, but very cohesive and accessible coverage…this book could be very well appreciated by both students and specialists in the field." (
Computing Reviews.com, August 1, 2006)
"...belongs in the library of every practicing signal processor." (Journal of the Acoustical Society of America, May 2006)
Table of ContentsPreface.
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.
