Air Data Signal Processing
Air Data Signal Processing is a methodological framework within aerospace engineering that specifically processes raw sensor outputs from air data systems to derive accurate and reliable atmospheric and aircraft performance parameters by filtering, calibrating, and compensating for environmental and instrumental errors.
19
Publications
456
Citations
49
Authors
23
Institutions
Publications per year
2017–2026
4
Parents
19
1–5 of 19
49
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 49
23

Armstrong Flight Research Center
Edwards, United States
3 h-index
3 publications
146 citations

Ames Research Center
Mountain View, United States
2 h-index
2 publications
92 citations
West Virginia University
Morgantown, United States
2 h-index
2 publications
92 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
216 citations

Parthenope University of Naples
Naples, Italy
2 h-index
4 publications
184 citations
University of Perugia
Perugia, Italy
2 h-index
3 publications
147 citations

University of Minnesota
Minneapolis, United States
1 h-index
3 publications
39 citations

Rice University
Houston, United States
1 h-index
1 publications
13 citations
1–8 of 23
2 publications · 79 citations
2
h-index
1 publications · 37 citations
1
h-index
JACIC · 1 publications · 13 citations
1
h-index
1 publications · 28 citations
1
h-index
Conference · 1 publications · 11 citations
1
h-index
1–5