Nonlinear filters theory and applications
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 both classic and machine learning-based filtering algori...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ
Wiley
2022
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| Edition: | Edition 2022 |
| Subjects: | |
| Online Access: | |
| Collection: | Wiley Online Books - Collection details see MPG.ReNa |
| Summary: | 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 both classic and machine learning-based filtering algorithms. Readers of Nonlinear Filters will greatly benefit from the wide spectrum of presented topics including stability, robustness, computability, and algorithmic sufficiency. |
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| Physical Description: | xxii, 273 Seiten |
| ISBN: | 978-1-119-07816-6 978-1-119-07815-9 978-1-119-07818-0 |