Filtering
Filtering is a method in the field of signal and data processing that belongs to the class of estimation techniques designed to extract meaningful information from noisy or incomplete observations by recursively updating the state of a dynamic system based on probabilistic models of its evolution and measurement processes, distinguished from smoothing or prediction by its focus on estimating the current state in real time as new sensor data becomes available.
16K
Publications
999.8K
Citations
42.3K
Authors
6.2K
Institutions
Publications per year
2017–2026
3.8K
16K
fastp: an ultra-fast all-in-one FASTQ preprocessor
Shifu Chen, Yanqing Zhou, Yaru Chen et al. · Bioinformatics · 2018 · 29.7K citations · Full text
Bilateral filtering for gray and color images
Carlo Tomasi, Roberto Manduchi · 2002 · 8.1K citations
Arts, Vision Science, Color Vision +16
New Results in Linear Filtering and Prediction Theory
R. E. Kalman, R. S. Bucy · Journal of Basic Engineering · 1961 · 6.3K citations
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42.3K
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6.2K

Brunel University of London
London, United Kingdom
66 h-index
218 publications
18.9K citations

Centre National de la Recherche Scientifique
Paris, France
61 h-index
945 publications
65.6K citations
Massachusetts Institute of Technology
Cambridge, United States
59 h-index
274 publications
27.7K citations

Harbin Institute of Technology
Harbin, China
58 h-index
377 publications
24.1K citations
Stanford University
Stanford, United States
57 h-index
306 publications
49.4K citations
Tsinghua University
Beijing, China
53 h-index
314 publications
20.3K citations
University of California, Berkeley
Berkeley, United States
48 h-index
253 publications
41.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
47 h-index
217 publications
17.3K citations
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451 publications · 39.8K citations
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373 publications · 46.3K citations
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135 publications · 14.7K citations
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176 publications · 13.7K citations
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109 publications · 10.3K citations
49
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