Super-resolution, Extremal Functions and the Condition Number of Vandermonde Matrices
Super-resolution is a fundamental task in imaging, where the goal is to extract fine-grained structure from coarse-grained measurements. Here we are interested in a popular mathematical abstraction of this problem that has been widely studied in the statistics, signal processing and machine learning...
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| Format: | Article |
| Language: | en_US |
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ACM Symposium on Theory of Computing. Proceedings
2016
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| Online Access: | http://hdl.handle.net/1721.1/104346 https://orcid.org/0000-0001-7047-0495 |