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 101–150 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
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing—0
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography—0
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks—0
Signal processing with optical quadratic random sketches—0
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging—0
Graph-based Semi-supervised Local Clustering with Few Labeled NodesCode0
Compressive Spectrum Sensing Using Blind-Block Orthogonal Least Squares—0
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
ISAR imaging of space objects using encoded apertures—0
Downlink Massive MIMO Channel Estimation via Deep Unrolling : Sparsity Exploitations in Angular Domain—0
Compressed-Sensing-Based 3D Localization with Distributed Passive Reconfigurable Intelligent Surfaces—0
Comparison between Hadamard and canonical bases for in-situ wavefront correction and the effect of ordering in compressive sensing—0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—0
Compressive Sensing of ECG Signals using Plug-and-Play Regularization—0
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service—0
Contact-Free Multi-Target Tracking Using Distributed Massive MIMO-OFDM Communication System: Prototype and Analysis—0
Joint Localization and Information Transfer for Reconfigurable Intelligent Surface Aided Full-Duplex Systems—0
Compressive Sensing Based Sparse MIMO Array Optimization for Wideband Near-Field Imaging—0
Unitary Approximate Message Passing for Matrix Factorization—0
Low-complexity Sparse Array Synthesis Based on Off-grid Compressive Sensing—0
Channel Estimation for Reconfigurable Intelligent Surface-Assisted Cell-Free Communications—0
Fast Compressive Channel Estimation for MmWave MIMO Hybrid Beamforming Systems—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