
NESTA
 Referenced in 100 articles
[sw06576]
 literature in the recent field of compressed sensing is already quite immense. This paper applies ... ideally suited for solving largescale compressed sensing reconstruction problems as (1) it is computationally...

LMaFit
 Referenced in 49 articles
[sw12221]
 Sparse Matrix Separation (SMS), Matrix Compressive Sensing...

BLOOMP
 Referenced in 17 articles
[sw06454]
 Coherence patternguided compressive sensing with unresolved grids Highly coherent sensing matrices arise in discretization ... techniques are embedded in the existing compressed sensing algorithms, such as orthogonal matching pursuit...

GraphLab
 Referenced in 17 articles
[sw12830]
 Gibbs sampling, CoEM, Lasso and Compressed Sensing. We show that using GraphLab...

DLMRILab
 Referenced in 14 articles
[sw16409]
 instance of socalled “blind compressed sensing”), as described in the following “DLMRI Paper...

EdgeCS
 Referenced in 6 articles
[sw14134]
 propose EdgeCS  an edge guided compressive sensing reconstruction approach  to recover images of higher quality ... image recovery, analysis, and understanding. In compressive sensing, the sparsity of image edges has been ... detectors have not been used on compressive sensing measurements to improve the edge recovery...

DADMM
 Referenced in 10 articles
[sw28440]
 signal processing and control: average consensus, compressed sensing, and support vector machines. Our simulations show...

Sparco
 Referenced in 6 articles
[sw07353]
 reconstruction problems drawn from the imaging, compressed sensing, and geophysics literature. Sparco is also...

DBT Simulator
 Referenced in 2 articles
[sw19041]
 technique (ART) were later developed. Recently, compressed sensing based methods have been proposed in tomosynthesis ... capable of implementing different iterative and compressed sensing based reconstruction methods on 3D digital tomosynthesis...

GAGA
 Referenced in 2 articles
[sw12223]
 software package for solving large compressed sensing problems with millions of unknowns in fractions ... Matlab executables to enhance your compressed sensing research and applications. A user guide is available...

IMRO
 Referenced in 3 articles
[sw20465]
 many applications including sparse recovery in compressive sensing, machine learning, and statistics. Our numerical experiment...

SpaRSA
 Referenced in 3 articles
[sw20467]
 LASSO), waveletbased deconvolution and reconstruction, and compressed sensing (CS) are a few wellknown areas...

Magni
 Referenced in 1 article
[sw27241]
 open source Python package that embraces compressed sensing and Atomic Force Microscopy (AFM) imaging techniques ... images. Magni also provides researchers in compressed sensing with a selection of algorithms for reconstructing ... convenient platform for researchers in compressed sensing aiming at obtaining a high degree of reproducibility...

FPC
 Referenced in 2 articles
[sw20468]
 sparse, or contain outliers. In compressed sensing signal reconstruction, f(x) is a weighted least...

TVRDART
 Referenced in 2 articles
[sw27583]
 within an optimization framework inspired by compressive sensing to steer the current reconstruction toward...

GPSR
 Referenced in 1 article
[sw14968]
 Operator (LASSO), waveletbased deconvolution, and Compressed Sensing are just a few wellknown examples...

bcs
 Referenced in 0 articles
[sw19508]
 package bcs. Bayesian Compressive Sensing Using Laplace Priors. A Bayesian method for solving the compressive ... sensing problem. In particular, this package implements the algorithm ’Fast ... Laplace’ found in the paper ’Bayesian Compressive Sensing Using Laplace Priors’ by Babacan, Molina, Katsaggelos...

FLUSEPA
 Referenced in 1 article
[sw20791]
 unstructured finite volume method suitable for highly compressible turbulent scaleresolving simulations around 3D complex ... schemes is compact in the algorithmic sense, since it only involves communications between direct neighbors ... conservative grid intersection technique is used. Compressible numerical test cases are investigated to demonstrate...

iDUDE
 Referenced in 4 articles
[sw21734]
 statistical characteristics. It is universal, in the sense of asymptotically achieving, without access ... addressing similar issues in lossless image compression. Instantiations of the enhanced framework, which is referred...

ALPO
 Referenced in 10 articles
[sw00035]
 This paper describes an implementation of the one...