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• W2119499160 abstract "This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the low-frequency band [−f lo,f lo] and seek to obtain a higher resolution estimate by extrapolating the spectrum up to a frequency f hi>f lo. We show that as long as the sources are separated by 2/f lo, solving a simple convex program produces a stable estimate in the sense that the approximation error between the higher-resolution reconstruction and the truth is proportional to the noise level times the square of the super-resolution factor (SRF) f hi/f lo." @default.
• W2119499160 created "2016-06-24" @default.
• W2119499160 creator A5044336556 @default.
• W2119499160 creator A5072495084 @default.
• W2119499160 date "2013-08-28" @default.
• W2119499160 modified "2023-10-14" @default.
• W2119499160 title "Super-Resolution from Noisy Data" @default.
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• W2119499160 doi "https://doi.org/10.1007/s00041-013-9292-3" @default.
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