Spectral Analysis Of Random Fields
Spectral Analysis of Random Fields is a mathematical framework that characterizes the second-order statistical properties of a spatial random field by decomposing its covariance structure into frequency components via Fourier analysis, thereby enabling the study of spatial dependence patterns in the spectral domain.
153
Publications
7.9K
Citations
269
Authors
177
Institutions
Publications per year
2017–2026
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University of Rochester
Rochester, United States
10 h-index
22 publications
681 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
7 publications
191 citations
University of Miami
Coral Gables, United States
4 h-index
4 publications
279 citations

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
6 publications
295 citations
Technical University of Munich
Munich, Germany
4 h-index
10 publications
175 citations
Czech Academy of Sciences, Institute of Mathematics
Prague, Czechia
3 h-index
5 publications
135 citations
Institute of Mathematics and Informatics
Sofia, Bulgaria
3 h-index
5 publications
135 citations
Stony Brook University
Stony Brook, United States
3 h-index
5 publications
491 citations
1–8 of 177
5 publications · 382 citations
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5 publications · 215 citations
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5 publications · 315 citations
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GJI · 4 publications · 261 citations
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4 publications · 147 citations
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