Adaptive Matched Field Processing
Adaptive Matched Field Processing is a signal processing methodology within underwater acoustics that extends conventional matched field processing by incorporating data-dependent adaptive weighting to enhance source localization accuracy in uncertain or time-varying oceanic environments.
27
Publications
2K
Citations
69
Authors
33
Institutions
Publications per year
2017–2026
6
Parents
27
1–5 of 27
69
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33

Scripps Institution of Oceanography
La Jolla, United States
8 h-index
16 publications
1.5K citations
University of California San Diego
San Diego, United States
5 h-index
11 publications
196 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
1.2K citations
Woods Hole Oceanographic Institution
Falmouth, United States
3 h-index
3 publications
196 citations
MIT Lincoln Laboratory
Lexington, United States
2 h-index
6 publications
180 citations

University of Bologna
Bologna, Italy
2 h-index
8 publications
674 citations
Science Applications International Corporation (United States)
McLean, United States
2 h-index
4 publications
913 citations
Syntek Technologies (United States)
Fairfax, United States
2 h-index
2 publications
39 citations
1–8 of 33
JASA · 11 publications · 505 citations
10
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6 publications · 1.1K citations
6
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3 publications · 133 citations
3
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2 publications · 166 citations
2
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1 publications · 11 citations
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1–5