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 551–597 of 597 papers

TitleStatusHype
Coded Aperture Radar Imaging Using Reconfigurable Intelligent Surfaces—0
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing—0
Comparative Study on Millimeter Wave Location-Based Beamforming—0
Comparison between Hadamard and canonical bases for in-situ wavefront correction and the effect of ordering in compressive sensing—0
Comparison of Algorithms for Compressed Sensing of Magnetic Resonance Images—0
Comparison of threshold-based algorithms for sparse signal recovery—0
Compressed-Domain Detection and Estimation for Colocated MIMO Radar—0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
Compressed domain vibration detection and classification for distributed acoustic sensing—0
Compressed-Sensing-Based 3D Localization with Distributed Passive Reconfigurable Intelligent Surfaces—0
Compressed sensing MRI using masked DCT and DFT measurements—0
Compressed Sensing SAR Imaging with Multilook Processing—0
Compression Boosts Differentially Private Federated Learning—0
Compression Ratio Learning and Semantic Communications for Video Imaging—0
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging—0
Compressive Acquisition of Dynamic Scenes—0
Compressive adaptive computational ghost imaging—0
Compressive dual-comb spectroscopy—0
Compressive Fourier collocation methods for high-dimensional diffusion equations with periodic boundary conditions—0
Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera—0
Compressive hyperspectral imaging via adaptive sampling and dictionary learning—0
Compressive Hyperspectral Imaging with Side Information—0
Compressive lensless endoscopy with partial speckle scanning—0
Compressive Light Field Reconstructions using Deep Learning—0
Compressively Sensed Image Recognition—0
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach—0
Compressive neural representation of sparse, high-dimensional probabilities—0
Compressive Pattern Matching on Multispectral Data—0
Compressive phase-only filtering at extreme compression rates—0
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors—0
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy—0
Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections—0
Compressive Scanning Transmission Electron Microscopy—0
Compressive sensing adaptation for polynomial chaos expansions—0
Compressive Sensing and Morphology Singular Entropy-Based Real-time Secondary Voltage Control of Multi-area Power Systems—0
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences—0
Compressive Sensing Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO—0
Compressive Sensing Based Adaptive Defence Against Adversarial Images—0
Compressive sensing based privacy for fall detection—0
Compressive Sensing Based Sparse MIMO Array Optimization for Wideband Near-Field Imaging—0
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach—0
Compressive Sensing Empirical Wavelet Transform for Frequency-Banded Power Measurement Considering Interharmonics—0
Compressive Sensing Imaging of 3-D Object by a Holographic Algorithm—0
Compressive Sensing Imaging Using Caustic Lens Mask Generated by Periodic Perturbation in a Ripple Tank—0
Compressive Sensing MRI with Wavelet Tree Sparsity—0
Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary—0
Compressive Sensing of ECG Signals using Plug-and-Play Regularization—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