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 501–525 of 597 papers

TitleStatusHype
A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors—0
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices—0
A fast patch-dictionary method for whole image recovery—0
A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames—0
A General Compressive Sensing Construct using Density Evolution—0
A Gridless Compressive Sensing Based Channel Estimation for Millimeter Wave MIMO OFDM Systems with One-Bit Quantization—0
A Gridless Compressive Sensing Based Channel Estimation for Millimeter Wave Massive MIMO Systems from 1-Bit Measurements—0
A Hybrid Architecture for On-Device Compressive Machine Learning—0
AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover—0
Algebraic Channel Estimation Algorithms for FDD Massive MIMO systems—0
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing—0
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization—0
Ambient Occlusion via Compressive Visibility Estimation—0
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging—0
Amplitude Retrieval for Channel Estimation of MIMO Systems with One-Bit ADCs—0
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms—0
Analyzing the group sparsity based on the rank minimization methods—0
An Ensemble Approach for Compressive Sensing with Quantum—0
An Off-grid Compressive Sensing Strategy for the Subarray Synthesis of Non-uniform Linear Arrays—0
A Bayesian Lasso based Sparse Learning Model—0
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography—0
A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding—0
A Parallel Compressive Imaging Architecture for One-Shot Acquisition—0
A Survey: Non-Orthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC—0
Asynchronous Multi Agent Active Search—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