Noise Model Estimation
Noise Model Estimation is the systematic process of identifying and characterizing the statistical properties of disturbances or unmeasured influences in a dynamic system, distinguished from other system identification components by its exclusive focus on modeling the structure and parameters of the noise affecting observed data.
432
Publications
22.1K
Citations
1.3K
Authors
546
Institutions
Publications per year
2017–2026
107
Parents
432
1–5 of 432
1.3K
Center for MathematicaL studies and their Applications, France
10 publications · 651 citations
10
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9
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8
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7
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6
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1–5 of 1.3K
546

Centre National de la Recherche Scientifique
Paris, France
12 h-index
28 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
24 publications
621 citations
Universitat de les Illes Balears
Palma, Spain
9 h-index
18 publications
1.1K citations
Center for MathematicaL studies and their Applications
Cachan, France
8 h-index
11 publications
660 citations
Vrije Universiteit Brussel
Brussels, Belgium
7 h-index
23 publications
2K citations

École Normale Supérieure Paris-Saclay
Gif-sur-Yvette, France
7 h-index
12 publications
940 citations

Australian National University
Canberra, Australia
6 h-index
13 publications
630 citations
Centre Borelli
Paris, France
6 h-index
13 publications
842 citations
1–8 of 546
11 publications · 1.5K citations
11
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10 publications · 459 citations
10
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Repository · 10 publications · 334 citations
10
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6 publications · 108 citations
6
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6 publications · 340 citations
6
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