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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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Article
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SIAM Journal on Mathematical Analysis
Article . 1992 . Peer-reviewed
Data sources: Crossref
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Superresolution via Sparsity Constraints

Superresolution via sparsity constraints
Authors: Donoho, David L.;

Superresolution via Sparsity Constraints

Abstract

The problem of recovering a measure \(\mu\) supported on a lattice of span \(\Delta\) from measurements \(\hat\mu(\omega)\) at frequencies \(|\omega|\leq\Omega\) is considered. The author shows that even if \(\Omega\) is much smaller than the Nyquist frequency \(\pi/\Delta\) and the measurements are noisy, stable recovery is possible if the measure \(\mu\) satisfies certain sparsity constraints. If the support of \(\mu\) is known a priori to have Rayleigh index at most \(R\) (in any interval of length \(4\pi/\Omega R\) there are at most \(R\) elements) then stable recovery is possible with a stability coefficient that grows at most like \(\Delta^{-2R-1}\) as \(\Delta\to 0\).

Related Organizations
Keywords

Signal theory (characterization, reconstruction, filtering, etc.), sparsity constraints, spectroscopy, Trigonometric moment problems in one variable harmonic analysis, inverse problems, Rayleigh index, Special classes of entire functions of one complex variable and growth estimates, Nyquist frequency, measurements, superresolution, recovering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
227
Top 1%
Top 0.1%
Top 10%
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