Space-time Filtering
Space-Time Filtering is a computational method that integrates spatial and temporal dimensions to selectively extract, smooth, or enhance patterns in data by distinguishing relevant spatiotemporal signals from noise or irrelevant variations.
55
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3.2K
Citations
154
Authors
74
Institutions
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2017–2026
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J. H. van Hateren, Daniel Ruderman · Proceedings of the Royal Society B Biological Sciences · 1998 · 429 citations · Full text
A dimension-reduced approach to space-time Kalman filtering
Christopher K. Wikle · Biometrika · 1999 · 405 citations
Computing, Mathematics, Physics +9
Optimum beamforming using transmit antenna arrays
Eugene Visotsky, Upamanyu Madhow · 2003 · 325 citations
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74

University of Calgary
Calgary, Canada
3 h-index
6 publications
238 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
45 citations
New York University
New York, United States
2 h-index
4 publications
138 citations
Brigham Young University
Provo, United States
2 h-index
5 publications
130 citations
Fraunhofer Institute for High Frequency Physics and Radar Techniques
Wachtberg, Germany
2 h-index
3 publications
93 citations

University of Montenegro
Podgorica, Montenegro
2 h-index
5 publications
68 citations

National University of Defense Technology
Changsha, China
2 h-index
8 publications
204 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
10 publications
1.1K citations
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2 publications · 83 citations
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2 publications · 52 citations
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1 publications · 18 citations
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1 publications · 18 citations
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1 publications · 330 citations
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