
NESTA
 Referenced in 127 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 68 articles
[sw12221]
 Sparse Matrix Separation (SMS), Matrix Compressive Sensing...

BLOOMP
 Referenced in 27 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...

ADMiRA
 Referenced in 31 articles
[sw31664]
 Approximation. In this paper, we address compressed sensing of a lowrank matrix posing ... ADMiRA) that extends Needell and Tropp’s compressive sampling matching pursuit (CoSaMP) algorithm from...

GraphLab
 Referenced in 23 articles
[sw12830]
 Gibbs sampling, CoEM, Lasso and Compressed Sensing. We show that using GraphLab...

TVRDART
 Referenced in 21 articles
[sw27583]
 within an optimization framework inspired by compressive sensing to steer the current reconstruction toward...

DLMRILab
 Referenced in 19 articles
[sw16409]
 instance of socalled “blind compressed sensing”), as described in the following “DLMRI Paper...

EdgeCS
 Referenced in 11 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 18 articles
[sw28440]
 signal processing and control: average consensus, compressed sensing, and support vector machines. Our simulations show...

Sparco
 Referenced in 8 articles
[sw07353]
 reconstruction problems drawn from the imaging, compressed sensing, and geophysics literature. Sparco is also...

IMRO
 Referenced in 8 articles
[sw20465]
 many applications including sparse recovery in compressive sensing, machine learning, and statistics. Our numerical experiment...

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...

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

DeepBinaryMask
 Referenced in 1 article
[sw39049]
 Learning a Binary Mask for Video Compressive Sensing. In this paper, we propose a novel ... referred to as DeepBinaryMask for video compressive sensing. In video compressive sensing one frame ... found to improve when using the trained sensing mask from the network as compared ... random, across a wide variety of compressive sensing reconstruction algorithms. Finally, our analysis and discussion...

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...

BART
 Referenced in 2 articles
[sw31004]
 reconstruction algorithms for parallel imaging and compressed sensing...

CLIIQ
 Referenced in 2 articles
[sw34969]
 population. Motivated by ideas from compressed sensing literature, CLIIQ is based on an integer linear...

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

PySAP
 Referenced in 1 article
[sw30563]
 data Analysis Package) developed for the COmpressed Sensing for Magnetic resonance Imaging and Cosmology (COSMIC ... applied to a variety of compressed sensing and image reconstruction problems in various research domains...