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Model-Based Signal Processing

Model-Based Signal Processing

Written for graduate-level courses, this text demonstrates how models can be used to solve both basic and complex signal processing problems. Topics covered include parametric, sinusoidal, wave-based, and state-space models; random signals and systems; and estimation theory.

Functions from MATLAB and the Signal Processing Toolbox are introduced and applied to problems at the end of each chapter.

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About This Book

James V. Candy, Lawrence Livermore National Laboratory

John Wiley & Sons, Inc., 2005

ISBN: 0-471-23632-2
Language: English