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

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Showing 401–450 of 597 papers

TitleStatusHype
Linear Inverse Problems Using a Generative Compound Gaussian Prior—0
Line-based compressive sensing for low-power visual applications—0
Lipschitz Learning for Signal Recovery—0
LiSens --- A Scalable Architecture for Video Compressive Sensing—0
Lottery Image Prior—0
Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize—0
Low-complexity Sparse Array Synthesis Based on Off-grid Compressive Sensing—0
Low-Complexity Super-Resolution Signature Estimation of XL-MIMO FMCW Radar—0
Low-Cost Compressive Sensing for Color Video and Depth—0
Low-dimensional Models in Spatio-Temporal Wind Speed Forecasting—0
Low dosage 3D volume fluorescence microscopy imaging using compressive sensing—0
Low-Rank and Sparse Matrix Decomposition with a-priori knowledge for Dynamic 3D MRI reconstruction—0
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing—0
Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking—0
MAP Support Detection for Greedy Sparse Signal Recovery Algorithms in Compressive Sensing—0
Masking Strategies for Image Manifolds—0
Matching Pursuit LASSO Part II: Applications and Sparse Recovery over Batch Signals—0
Mathematical Foundation of Sparsity-based Multi-snapshot Spectral Estimation—0
MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing—0
Measurement-Adaptive Sparse Image Sampling and Recovery—0
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
Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction—0
Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation—0
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm—0
Nonconvex penalties with analytical solutions for one-bit compressive sensing—0
Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration—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