SOTAVerified

Compressive Sensing

Compressive Sensing is a new signal processing framework for efficiently acquiring and reconstructing a signal that have a sparse representation in a fixed linear basis.

Source: Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 597 papers

TitleStatusHype
Minimum-fuel Spacecraft Rendezvous based on Sparsity Promoting Optimization—0
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction—0
Model-based Decentralized Bayesian Algorithm for Distributed Compressed Sensing—0
Modular Sparse Conical Multi-beam Phased Array Design for Air Traffic Control Radar—0
Moment Transform-Based Compressive Sensing in Image Processing—0
Monotonically Convergent Regularization by Denoising—0
More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing—0
More is Less: Inducing Sparsity via Overparameterization—0
MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction—0
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing—0
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)—0
Multichannel Compressive Sensing MRI Using Noiselet Encoding—0
Multilinear compressive sensing and an application to convolutional linear networks—0
Multipath Time-delay Estimation with Impulsive Noise via Bayesian Compressive Sensing—0
Multi-resolution Compressive Sensing Reconstruction—0
Multiscale Shrinkage and Lévy Processes—0
Multi-target Range and Angle detection for MIMO-FMCW radar with limited antennas—0
Multi-target Range, Doppler and Angle estimation in MIMO-FMCW Radar with Limited Measurements—0
Multi UAV-enabled Distributed Sensing: Cooperation Orchestration and Detection Protocol—0
Multi-view in Lensless Compressive Imaging—0
New ECCM Techniques Against Noise-like and/or Coherent Interferers—0
New explicit thresholding/shrinkage formulas for one class of regularization problems with overlapping group sparsity and their applications—0
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems—0
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing—0
Noise Analysis for Lensless Compressive Imaging—0
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All datasetsSet11 cs=50%BSD68 CS=50%BSDS100 - 2x upscalingUrban100 - 2x upscaling

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DMP-DUN-Plus (4-step)Average PSNR42.82—Unverified
2AMPA-NetAverage PSNR40.32—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR36.33—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR35.95—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR35.86—Unverified