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David Leigh Donoho (* 5. März 1957 in Los Angeles ) ist ein US-amerikanischer Statistiker. Donoho studierte Statistik an der Princeton University (Bachelor-Abschluss summa cum laude bei John W. Tukey ) und promovierte 1983 bei Peter Huber an der Harvard University (A tool for research in data analysis), [1] während er gleichzeitig bei Western ...
M Lustig, D Donoho, JM Pauly. Magnetic Resonance in Medicine: An Official Journal of the International …. , 2007. 8426. 2007. For most large underdetermined systems of linear equations the minimal 𝓁 1 ‐norm solution is also the sparsest solution. DL Donoho. Communications on Pure and Applied Mathematics: A Journal Issued by the ….
David Leigh Donoho (born March 5, 1957) is an American statistician. He is a professor of statistics at Stanford University, where he is also the Anne T. and Robert M. Bass Professor in the Humanities and Sciences.
- Statistics
- Peter J. Huber
- American
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.
David Donoho is a leading expert in compressed sensing, a method of exploiting sparse signals in signal recovery, denoising, superresolution, and underdetermined equations. He also works on large-scale covariance matrix estimation, detection of rare and weak signals, and empirical deep learning.
David Donoho is a mathematician who works on theoretical and computational statistics, signal processing, and harmonic analysis. He is a professor in the School of Humanities and Sciences and a member of the Institute for Computational and Mathematical Engineering at Stanford.
David L. Donoho is a leading statistician and mathematician who has made seminal contributions to the development of non-asymptotic statistics, Bayesian inference, and compressed sensing. He is the Anne T. and Robert M. Bass Professor in the Humanities and Sciences at Stanford University and the NSF Postdoctoral Fellow at the University of California, Berkeley. He has received many awards and honors, including the IEEE Jack S. Kilby Signal Processing Medal, the Shaw Prize, and the Shaw Prize in Mathematical Sciences.
