Statistical Signal Processing
Statistical Signal Processing is a branch of signal processing that employs statistical methods to analyze, model, and infer information from signals in the presence of uncertainty, distinguishing itself through the formal incorporation of probabilistic reasoning to characterize and exploit signal and noise properties.
681
Publications
74.4K
Citations
1.6K
Authors
646
Institutions
Publications per year
2017–2026
107
Parents
681
Fundamentals of Statistical Signal Processing: Estimation Theory
Sailes K. Sengijpta · Technometrics · 1995 · 11.3K citations
Energy detection of unknown deterministic signals
H. Urkowitz · Proceedings of the IEEE · 1967 · 3.2K citations
Statistical Digital Signal Processing and Modeling
Marvin H. J. Gruber, M.H. Hayes · Technometrics · 1997 · 2.2K citations
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646

Centre National de la Recherche Scientifique
Paris, France
19 h-index
44 publications
2.8K citations
Princeton University
Princeton, United States
13 h-index
24 publications
1.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
24 publications
766 citations
University of Michigan
Ann Arbor, United States
11 h-index
18 publications
3.6K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
20 publications
3K citations

Rice University
Houston, United States
10 h-index
20 publications
5.2K citations

University of British Columbia
Vancouver, Canada
9 h-index
17 publications
842 citations
Duke University
Durham, United States
9 h-index
21 publications
831 citations
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41 publications · 4.7K citations
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29 publications · 6.5K citations
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23 publications · 1.9K citations
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10 publications · 518 citations
10
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10 publications · 15.8K citations
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