91 citations · 122 across the 8 of their papers we have counts for
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math.OC2017
Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees
Brett Bernstein, Carlos Fernandez-Granda
In this work we analyze a convex-programming method for estimating superpositions of point sources or spikes from nonuniform samples of their convolution with a known kernel. We co…
math.OC2016★ 7 cited
Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers
Carlos Fernandez-Granda, Gongguo Tang, Xiaodong Wang +1
We consider the problem of super-resolving the line spectrum of a multisinusoidal signal from a finite number of samples, some of which may be completely corrupted. Measurements of…
math.OC2015
Super-Resolution of Point Sources via Convex Programming
Carlos Fernandez-Granda
We consider the problem of recovering a signal consisting of a superposition of point sources from low-resolution data with a cut-off frequency f. If the distance between the sourc…