Modal Array Processing
Modal Array Processing is a signal processing framework that exploits the modal decomposition of wavefields in structured sensor arrays to enhance spatial resolution and source estimation by differentiating multipath components through orthogonal mode excitation.
15
Publications
584
Citations
39
Authors
23
Institutions
Publications per year
2017–2026
1
Parents
15
1–5 of 15
39
2
h-index
2
h-index
1
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
1 publications · 135 citations
1
h-index
1
h-index
1–5 of 39
23

Australian National University
Canberra, Australia
2 h-index
3 publications
111 citations

United States Naval Research Laboratory
Washington, United States
2 h-index
2 publications
91 citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
5 publications
101 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
78 citations
RMIT University
Melbourne, Australia
1 h-index
1 publications
37 citations

University of Cincinnati
Cincinnati, United States
1 h-index
1 publications
11 citations
Virginia Tech
Blacksburg, United States
1 h-index
3 publications
33 citations
University of Castilla-La Mancha
Ciudad Real, Spain
1 h-index
1 publications
61 citations
1–8 of 23
JASA · 7 publications · 347 citations
7
h-index
2 publications · 115 citations
2
h-index
1 publications · 11 citations
1
h-index
Repository · 1 publications · 11 citations
1
h-index
1 publications · 10 citations
1
h-index
1–5