Model-Based Processing, 9781119457763
Hardcover
Unlock hidden models in data, bridge signal processing to control.

Model-Based Processing

an applied subspace identification approach

$367.25

  • Hardcover

    544 pages

  • Release Date

    1 March 2019

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Summary

Model-Based Processing: An Applied Subspace Identification Approach

A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems

Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to…

Book Details

ISBN-13:9781119457763
ISBN-10:1119457769
Author:James V. Candy
Publisher:John Wiley & Sons Inc
Imprint:John Wiley & Sons Inc
Format:Hardcover
Number of Pages:544
Release Date:1 March 2019
Weight:998g
Dimensions:234mm x 158mm x 31mm
About The Author

James V. Candy

JAMES V. CANDY, PHD, is Chief Scientist for Engineering, Distinguished Member of the Technical Staff, and founder of the Center for Advanced Signal & Image Sciences (CASIS), Lawrence Livermore National Laboratory, Livermore, California. Dr. Candy is also Adjunct Full-Professor, University of California, Santa Barbara, a Fellow of the IEEE, and a Fellow of the Acoustical Society of America. He is author of Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods and Model-Based Signal Processing (John Wiley & Sons, Inc., 2006) and Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods, Second Edition (John Wiley & Sons, Inc., 2016). Dr. Candy was awarded the IEEE Distinguished Technical Achievement Award for his development of model-based signal processing and the Acoustical Society of America Helmholtz-Rayleigh Interdisciplinary Silver Medal for his contributions to acoustical signal processing and underwater acoustics.

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