• NESTA

  • Referenced in 131 articles [sw06576]
  • literature in the recent field of compressed sensing is already quite immense. This paper applies ... ideally suited for solving large-scale compressed sensing reconstruction problems as (1) it is computationally...
  • LMaFit

  • Referenced in 74 articles [sw12221]
  • Sparse Matrix Separation (SMS), Matrix Compressive Sensing...
  • BLOOMP

  • Referenced in 28 articles [sw06454]
  • Coherence pattern-guided 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 35 articles [sw31664]
  • Approximation. In this paper, we address compressed sensing of a low-rank matrix posing ... ADMiRA) that extends Needell and Tropp’s compressive sampling matching pursuit (CoSaMP) algorithm from...
  • D-ADMM

  • Referenced in 25 articles [sw28440]
  • signal processing and control: average consensus, compressed sensing, and support vector machines. Our simulations show...
  • GraphLab

  • Referenced in 23 articles [sw12830]
  • Gibbs sampling, Co-EM, Lasso and Compressed Sensing. We show that using GraphLab...
  • TVR-DART

  • Referenced in 23 articles [sw27583]
  • within an optimization framework inspired by compressive sensing to steer the current reconstruction toward...
  • DLMRI-Lab

  • Referenced in 20 articles [sw16409]
  • instance of so-called “blind compressed sensing”), as described in the following “DLMRI Paper...
  • EdgeCS

  • Referenced in 12 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...
  • ISTA-Net

  • Referenced in 7 articles [sw40591]
  • Optimization-Inspired Deep Network for Image Compressive Sensing. With the aim of developing a fast ... accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper ... residuals of natural images are more compressible, an enhanced version of ISTA...
  • 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 well-known 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...