Nonlinear Filters: Theory and Applications

by Saeid Habibi, Simon Haykin, Peyman Setoodeh

NONLINEAR FILTERS

Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerful new resource

Nonlinear Filters: Theory and Applications delivers an insightful view on state and parameter estimation by merging ideas from control theory, statistical signal processing, and machine learning. Taking an algorithmic approach, the book covers...

• Format: Hardcover
• Language: English
• ISBN: 1118835816
• ISBN13: 9781118835814
• Release Date: March 2022
• Publisher: Wiley
• Length: 304 Pages
• Weight: 1.24 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"