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 1–50 of 597 papers

TitleStatusHype
Disentangling coincident cell events using deep transfer learning and compressive sensing—0
Zero-Shot Solving of Imaging Inverse Problems via Noise-Refined Likelihood Guided Diffusion Models—0
RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation—0
Low-Complexity Super-Resolution Signature Estimation of XL-MIMO FMCW Radar—0
Discrete and Continuous Difference of Submodular MinimizationCode0
Training Beam Design for Channel Estimation in Hybrid mmWave MIMO Systems—0
Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal RecoveryCode0
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization—0
A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding—0
Secure Directional Modulation with Movable Antenna Array Aided by RIS—0
Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack—0
Sampling Innovation-Based Adaptive Compressive SensingCode1
Modeling and Optimization for Flexible Cylindrical Arrays-Enabled Wireless CommunicationsCode0
Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and PerformanceCode0
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive SensingCode1
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
Iterative Sparse Identification of Nonlinear Dynamics—0
CMAR-Net: Accurate Cross-Modal 3D SAR Reconstruction of Vehicle Targets with Sparse-Aspect Multi-Baseline Data—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
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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