Bayesian Matched Field Processing is a statistical signal processing framework within matched field processing that employs Bayesian inference to estimate source location parameters by incorporating prior information and quantifying uncertainty in ocean acoustic propagation models.
11
Publications
457
Citations
29
Authors
14
Institutions
Publications per year
2017–2026
5
Parents
Publications
11
1–5 of 11
Authors
29
- SE
4
h-index
- MJ
2
h-index
- DT
2
h-index
- PLPeter L. Nielsen
NATO Centre for Maritime Research and Experimentation, Italy
1 publications · 92 citations
1
h-index
- NR
1
h-index
1–5 of 29
Institutions
14
University of Victoria
Victoria, Canada
5 h-index
8 publications
355 citations
Norwegian Defence Research Establishment
Oslo, Norway
2 h-index
2 publications
55 citations
University of Toronto
Toronto, Canada
1 h-index
1 publications
65 citations
University of Delaware
Newark, United States
1 h-index
1 publications
48 citations
NATO Centre for Maritime Research and Experimentation
La Spezia, Italy
1 h-index
1 publications
92 citations
University of Perugia
Perugia, Italy
1 h-index
2 publications
130 citations
Northwestern Polytechnical University
Xi'an, China
1 h-index
3 publications
42 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
5 publications
325 citations
1–8 of 14
Venues
- The Journal of the Acoustical Society of America
JASA · 8 publications · 366 citations
8
h-index
- Mechanical Systems and Signal Processing
MSSP · 1 publications · 65 citations
1
h-index
- Inverse Problems
1 publications · 12 citations
1
h-index
- Sensors
1 publications · 14 citations
1
h-index
1–4