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: | English |
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ACM Symposium on Theory of Computing. Proceedings,
2016-09-16T22:44:08Z.
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| Online Access: | Get fulltext |