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 51–100 of 597 papers

TitleStatusHype
Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and PerformanceCode0
Modeling and Optimization for Flexible Cylindrical Arrays-Enabled Wireless CommunicationsCode0
Group Sparsity Methods for Compressive Space-Frequency Channel Estimation and Spatial Equalization in Fluid Antenna System—0
Compressive Sensing Empirical Wavelet Transform for Frequency-Banded Power Measurement Considering Interharmonics—0
Channel Estimation for RIS-Aided MU-MIMO mmWave Systems with Practical Hybrid Architecture—0
Multi-target Range, Doppler and Angle estimation in MIMO-FMCW Radar with Limited Measurements—0
HUNet: Homotopy Unfolding Network for Image Compressive SensingCode0
Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking—0
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms—0
PALMS: Parallel Adaptive Lasso with Multi-directional Signals for Latent Networks Reconstruction—0
Block based Adaptive Compressive Sensing with Sampling Rate Control—0
Sparse Bayesian Generative Modeling for Compressive SensingCode0
User Activity Detection with Delay-Calibration for Asynchronous Massive Random Access—0
Chasing Better Deep Image Priors between Over- and Under-parameterizationCode0
Prior Information-Aided ADMM for Multi-User Detection in Codebook-Based Grant-Free NOMA: Dynamic Scenarios—0
Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections—0
A Hierarchical View of Structured Sparsity in Kronecker Compressive Sensing—0
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing—0
Towards Real-time Video Compressive Sensing on Mobile DevicesCode0
Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid—0
High-Dimensional Confidence Regions in Sparse MRI—0
CONGO: Compressive Online Gradient Optimization—0
Extremely Large-Scale Dynamic Metasurface Antennas (XL-DMAs): Near-Field Modeling and Channel Estimation—0
AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover—0
Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize—0
Linear Inverse Problems Using a Generative Compound Gaussian Prior—0
CMAR-Net: Accurate Cross-Modal 3D SAR Reconstruction of Vehicle Targets with Sparse-Aspect Multi-Baseline Data—0
Iterative Sparse Identification of Nonlinear Dynamics—0
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid PrecodingCode0
Electromagnetic Property Sensing in ISAC with Multiple Base Stations: Algorithm, Pilot Design, and Performance Analysis—0
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters—0
Compressive Sensing Imaging Using Caustic Lens Mask Generated by Periodic Perturbation in a Ripple Tank—0
On Generalization Bounds for Deep Compound Gaussian Neural Networks—0
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction—0
Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images—0
SnapCap: Efficient Snapshot Compressive Video Captioning—0
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)—0
Reconstruction-free Cascaded Adaptive Compressive Sensing—0
UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing—0
Electromagnetic Property Sensing: A New Paradigm of Integrated Sensing and Communication—0
Deep Regularized Compound Gaussian Network for Solving Linear Inverse ProblemsCode0
A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing—0
PIPO-Net: A Penalty-based Independent Parameters Optimization Deep Unfolding Network—0
Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning—0
Underwater Sound Speed Profile Construction: A Review—0
Compression Ratio Learning and Semantic Communications for Video Imaging—0
An Efficient Algorithm for Clustered Multi-Task Compressive SensingCode0
Sparsity-Based Channel Estimation Exploiting Deep Unrolling for Downlink Massive MIMO—0
Fractal Compressive Sensing—0
Interpretable and Efficient Beamforming-Based Deep Learning for Single Snapshot DOA Estimation—0
Show:102550
← PrevPage 2 of 12Next →
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