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 101–125 of 597 papers

TitleStatusHype
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding—0
Multi UAV-enabled Distributed Sensing: Cooperation Orchestration and Detection Protocol—0
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing—0
Sparse Models for Machine Learning—0
In-sector Compressive Beam Alignment for MmWave and THz Radios—0
Coded Aperture Radar Imaging Using Reconfigurable Intelligent Surfaces—0
A Compressive Sensing Based Method for Harmonic State Estimation—0
Learning a Common Dictionary for CSI Feedback in FDD Massive MU-MIMO-OFDM Systems—0
Signal processing after quadratic random sketching with optical units—0
Compressive Image Scanning MicroscopeCode0
Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing—0
Operational Support Estimator NetworksCode0
Multipath Time-delay Estimation with Impulsive Noise via Bayesian Compressive Sensing—0
MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction—0
A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse ProblemsCode0
Joint Channel Estimation and Turbo Equalization of Single-Carrier Systems over Time-Varying Channels—0
Recursions Are All You Need: Towards Efficient Deep Unfolding NetworksCode0
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing—0
Dynamic Compressive Sensing based on RLS for Underwater Acoustic Communications—0
Hierarchical Interactive Reconstruction Network For Video Compressive Sensing—0
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL)—0
Compressive Sensing with Tensorized Autoencoder—0
Multi-target Range and Angle detection for MIMO-FMCW radar with limited antennas—0
STAR-RIS-Enabled Simultaneous Indoor and Outdoor 3D Localization: Theoretical Analysis and Algorithmic Design—0
Compressed domain vibration detection and classification for distributed acoustic sensing—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