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 481–490 of 597 papers

TitleStatusHype
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction—0
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis—0
Prior Information-Aided ADMM for Multi-User Detection in Codebook-Based Grant-Free NOMA: Dynamic Scenarios—0
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective—0
Provable Convergence of Plug-and-Play Priors with MMSE denoisers—0
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks—0
Quantifying the influence of conformational uncertainty in biomolecular solvation—0
Quantity over Quality: Dithered Quantization for Compressive Radar Systems—0
RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation—0
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method—0
Show:102550
← PrevPage 49 of 60Next →
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