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| Name |
Donoho, David L. |
| Location
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Stanford University |
| Primary Field
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Applied Mathematical Sciences |
 Election Citation
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Donoho is a mathematician who has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, of the structure of robust procedures, and of sparse data description. |
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Research Interests
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David Donoho has studied the exploitation of sparse signals in signal recovery, including for denoising, superresolution, and solution of underdetermined equations. His work showed that L1 penalization was an effective and even optimal way to exploit sparsity and coined the notion of Compressed Sensing which has impacted many scientific and technical fields, including magnetic resonance imaging in medicine. |
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