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David Donoho is an American statistician and a professor at Stanford University. He is known for his work on multiscale geometric analysis, wavelets, denoising and compressed sensing, and has won several awards and honors, including the Shaw Prize and the Gauss Prize.
David Donoho is a professor of statistics at Stanford University and a pioneer in compressed sensing and sparse representation. His Google Scholar profile shows his publications, citations, h-index, i10-index, and other metrics since 2019.
home - dave donoho. My theoretical research interests have focused on the mathematics of statistical inference and on theoretical questions arising in applying harmonic analysis to various applied problems.
- Education
- Honorary Degrees
- Awards and Honors
- Visiting Professorships
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NSF Postdoctoral Fellow, Department of Statistics, University of California, Berkeley Ph.D. (Statistics) Harvard University, 1984. Thesis adviser: P. J. Huber Princeton University, 1978, Summa Cum Laude, Undergraduate thesis adviser: J. W. Tukey
Doctor of Science, Technion, 2017 Doctor of Science, University of Waterloo, 2016 Doctor Honoris Causa, École Polytechnique Fédérale de Lausanne, 2012 Doctor of Science, University of Chicago, 2009
IEEE Jack S. Kilby Signal Processing Medal 2022 Election to American Philosophical Society 2019 Carl Friedrich Gauss Prize 2018 Shaw Prize in Mathematical Sciences, 2013 Norbert Wiener Prize, Amer. Math. Soc. and Soc. Indus. Appl. Math., 2010 Foreign Associate, Académie des Sciences (France), 2010 Von Neumann Prize Lecturer, Soc. Indus. Appl. Math....
Kloosterman Professor, University of Leiden, 2002 Sackler Fellow, Tel Aviv University, 2000. Professeur Associé, Universit\'{e} de Paris XI (visiting) 1998 Professeur Associé, Université de Paris VII (visiting) 1992 Professeur Associé au CNRS, Université de Paris XI, (visiting) 1986
David L. Donoho is a renowned statistician and signal processing expert who has received many awards and honors, including the Shaw Prize and the Gauss Prize. He is the Anne T. and Robert M. Bass Professor in the Humanities and Sciences at Stanford University and has held visiting professorships at several institutions.
David Donoho is a renowned expert in sparse signal recovery, compressed sensing, and large-scale matrix estimation. He has coined the term compressed sensing and applied it to various fields, such as medical imaging and deep learning.
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David Donoho is a renowned statistician who works on recovering information from symbols and images. He has received many awards, including the Shaw Prize for Mathematics and the John von Neumann Prize, and has given a public lecture for the Stanford MRC.
A list of papers by David Donoho, a professor of statistics at Stanford University, covering topics such as signal processing, mathematical statistics, and wavelet analysis. The list includes pre-internet and recent publications, as well as links to Google Scholar and ArXiv.
