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01655nmm a2200349 u 4500 |
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220715 ||| eng |
| 020 |
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|a 978-1-119-07816-6
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| 020 |
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|a 978-1-119-07815-9
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| 020 |
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|a 978-1-119-07818-0
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| 050 |
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4 |
|a QA402.35
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| 100 |
1 |
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|a Setoodeh, Peyman
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| 245 |
0 |
0 |
|a Nonlinear filters
|h Elektronische Ressource
|b theory and applications
|c Peyman Setoodeh, Saeid Habibi, Simon Haykin, McMaster University Ontario, Canada
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| 250 |
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|a Edition 2022
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| 260 |
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|a Hoboken, NJ
|b Wiley
|c 2022
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| 300 |
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|a xxii, 273 Seiten
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| 700 |
1 |
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|a Habibi, Saeid
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| 700 |
1 |
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|a Haykin, Simon
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b WILOB
|a Wiley Online Books
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| 028 |
5 |
0 |
|a 10.1002/9781119078166
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| 776 |
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|z 978-1-118-83581-4
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| 856 |
4 |
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|u https://doi.org/10.1002/9781119078166
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 629.8
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| 650 |
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4 |
|a Nonlinear control theory
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| 650 |
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4 |
|a Signal processing -- Digital techniques Digital filters (Mathematics)
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| 650 |
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4 |
|a Digital filters (Mathematics)
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| 650 |
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4 |
|a Signal processing - Digital techniques
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| 520 |
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|a 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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