Work

Accelerated Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints

Year: 2008

Type: article

Source: Journal of Fourier Analysis and Applications

DOI: 10.1007/s00041-008-9039-8

Authors: Ingrid Daubechies, Massimo Fornasier, Ignace Loris

Institutions: Princeton University, Vrije Universiteit Brussel

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Princeton University, European Commission, Vlaamse regering

Awards: CMG: When Sparse Meets Dense: New Mathematical Approximations Applied to Seismic Tomography, Wavelets and Other Time-frequency Methods, and their Applications, G7950192132

OpenAlex ID: W2113740359

FWCI: 14.66

Cites: 38

Cited by: 190

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