A Low-Rank Approach to Off-the-Grid Sparse Superresolution | Zendy

Paul Catala | Zendy; Vincent Duval | Zendy; Gabriel Peyré | Zendy

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A Low-Rank Approach to Off-the-Grid Sparse Superresolution

Author(s) -

Paul Catala,

Vincent Duval,

Gabriel Peyré

Publication year - 2019

Publication title -

siam journal on imaging sciences

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.944

H-Index - 71

ISSN - 1936-4954

DOI - 10.1137/19m124071x

Subject(s) - mathematics , solver , deconvolution , fourier transform , rank (graph theory) , dimension (graph theory) , algorithm , minification , low rank approximation , grid , fast fourier transform , operator (biology) , mathematical optimization , combinatorics , mathematical analysis , tensor (intrinsic definition) , geometry , biochemistry , chemistry , repressor , transcription factor , gene

We propose a new solver for the sparse spikes superresolution problem over the space of Radon measures. A common approach to off-the-grid deconvolution considers semidefinite relaxations of the tot...

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