
Model-Based Processing
an applied subspace identification approach
$367.25
- Hardcover
544 pages
- Release Date
1 March 2019
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 |
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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 |
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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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