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Model-Based Signal Processing

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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.

Author(s): James V. Candy
Series: Adaptive and learning systems for signal processing, communications, and control
Publisher: IEEE Press :, Wiley-Interscience
Year: 2006

Language: English
Pages: 701
City: Hoboken, N.J