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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.

About This Book

James V. Candy, Lawrence Livermore National Laboratory

John Wiley & Sons, Inc., 2005

ISBN: 0-471-23632-2
Language: English

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