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Model-Based Signal Processing
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Model-Based Signal Processing

Model-Based Signal Processing

James V. Candy

678 pages, parution le 28/11/2005

Résumé

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.

L'auteur - James V. Candy

James V. Candy, PhD, is Chief Scientist for Engineering, founder, and former director of the Center for Advanced Signal & Image Sciences at the University of California, Lawrence Livermore National Laboratory. Dr. Candy is also an Adjunct Full Professor at the University of California, Santa Barbara; a Fellow of the IEEE; and a Fellow of the Acoustical Society of America. He has taught graduate courses in signal and image processing at San Francisco State University, the University of Santa Clara, and the University of California, Berkeley Extension. Dr. Candy has published over 200 journal articles, book chapters, and technical reports, as well as authored the texts Signal Processing: Model-Based Approach and Signal Processing: A Modern Approach. He was awarded the IEEE Distinguished Technical Achievement Award for his development of model-based signal processing.

Sommaire

  • Introduction
  • Discrete Random Signals ans Systems
  • Estimation Theory
  • AR, MA, ARMAX, Lattice, Exponential, Wave Model-Based Processors
  • Linear State-Space Model-Based Processors
  • Nonlinear State-Space Model-Based Processors
  • Adaptive AR, MA, ARMAX, Exponential Model-Based Processors
  • Adaptive State-Space Model-Based Processors
  • 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
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Caractéristiques techniques

  PAPIER
Éditeur(s) Wiley
Auteur(s) James V. Candy
Parution 28/11/2005
Nb. de pages 678
Format 16 x 24
Couverture Relié
Poids 1060g
Intérieur Noir et Blanc
EAN13 9780471236320
ISBN13 978-0-471-23632-0

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