Wiener Deconvolution
Wiener Deconvolution is a spectral deconvolution method that belongs to the class of linear inverse filters and is distinguished by its use of a statistical optimization criterion minimizing mean squared error between the estimated and true spectra based on signal and noise power spectral density estimates.
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2017–2026
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Deconvolution of Impulse Response in Event-Related BOLD fMRI1
Gary H. Glover · NeuroImage · 1999 · 1.4K citations
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
13 publications
685 citations

Johns Hopkins University
Baltimore, United States
4 h-index
6 publications
594 citations
Stanford University
Stanford, United States
4 h-index
13 publications
587 citations

Harbin Institute of Technology
Harbin, China
3 h-index
16 publications
350 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
6 publications
112 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
176 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
3 publications
96 citations
Instituto Geográfico Nacional
Madrid, Spain
2 h-index
2 publications
59 citations
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7 publications · 413 citations
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6 publications · 383 citations
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4 publications · 127 citations
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AO · 3 publications · 53 citations
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