Model-based signal processing
Model-based signal processing [electronic resource]
James V. Candy.
- Hoboken, N.J. : IEEE Press : Wiley-Interscience, c2006.
- xxi, 677 p. : ill. ; 25 cm.
- Adaptive and learning systems for signal processing, communications, and control. .
"Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing." "The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems."--BK JACKET.