Linearization
Linearization is a signal conditioning technique that transforms a nonlinear sensor output into a proportional, straight-line response through mathematical or circuit-based correction methods to accurately represent the measured physical variable.
4.5K
Publications
226.6K
Citations
9.9K
Authors
2.4K
Institutions
Publications per year
2017–2026
1K
4.5K
The unscented Kalman filter for nonlinear estimation
Eric A. Wan, Rudolph van der Merwe · 2002 · 3.9K citations
Estimating regression models with unknown break‐points
Vito M. R. Muggeo · Statistics in Medicine · 2003 · 2.3K citations
1–5 of 4.5K
9.9K
27
h-index
23
h-index
21
h-index
16
h-index
15
h-index
1–5 of 9.9K
2.4K
Massachusetts Institute of Technology
Cambridge, United States
32 h-index
98 publications
7.7K citations

Centre National de la Recherche Scientifique
Paris, France
32 h-index
171 publications
6.5K citations
Tsinghua University
Beijing, China
30 h-index
186 publications
9K citations

University of Calgary
Calgary, Canada
26 h-index
77 publications
5.1K citations
Georgia Institute of Technology
Atlanta, United States
26 h-index
93 publications
8K citations
University of California, Berkeley
Berkeley, United States
26 h-index
55 publications
4.9K citations
Stanford University
Stanford, United States
25 h-index
67 publications
6.1K citations
Virginia Tech
Blacksburg, United States
23 h-index
55 publications
4.1K citations
1–8 of 2.4K
126 publications · 5.7K citations
43
h-index
74 publications · 9K citations
40
h-index
53 publications · 4.6K citations
35
h-index
52 publications · 4.1K citations
32
h-index
38 publications · 3K citations
31
h-index
1–5