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 251–300 of 597 papers

TitleStatusHype
Study on Compressed Sensing of Action Potential—0
Sub-Pixel Registration of Wavelet-Encoded Images—0
Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid—0
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity—0
Theoretical Perspectives on Deep Learning Methods in Inverse Problems—0
The Power of Triply Complementary Priors for Image Compressive Sensing—0
The Role of Interactivity in Structured Estimation—0
Third-Order Statistics Reconstruction from Compressive Measurements—0
Tomographic Reconstruction using Global Statistical Prior—0
Total variation reconstruction for compressive sensing using nonlocal Lagrangian multiplier—0
Toward a Robust Sparse Data Representation for Wireless Sensor Networks—0
Towards Understanding the Invertibility of Convolutional Neural Networks—0
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets—0
Training Beam Design for Channel Estimation in Hybrid mmWave MIMO Systems—0
Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior—0
Tree-Structure Bayesian Compressive Sensing for Video—0
Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection—0
Tuning Free Orthogonal Matching Pursuit—0
Two-pixel polarimetric camera by compressive sensing—0
Two-stage Geometric Information Guided Image Reconstruction—0
UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing—0
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service—0
Understanding Adversarial Attacks on Autoencoders—0
Underwater Sound Speed Profile Construction: A Review—0
Unitary Approximate Message Passing for Matrix Factorization—0
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography—0
Unsupervised Sparse Unmixing of Atmospheric Trace Gases from Hyperspectral Satellite Data—0
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction—0
User Activity Detection with Delay-Calibration for Asynchronous Massive Random Access—0
Video Compressive Sensing for Dynamic MRI—0
Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models—0
Weighed l1 on the simplex: Compressive sensing meets locality—0
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning—0
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air—0
Robust Symbol Detection in Overloaded NOMA Systems—0
Disentangling coincident cell events using deep transfer learning and compressive sensing—0
Distributed Compressive Sensing: A Deep Learning Approach—0
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks—0
Distributed Video Adaptive Block Compressive Sensing—0
Downlink Massive MIMO Channel Estimation via Deep Unrolling : Sparsity Exploitations in Angular Domain—0
Dynamic Compressive Sensing based on RLS for Underwater Acoustic Communications—0
Dynamic Proximal Unrolling Network for Compressive Imaging—0
Efficient Fourier single-pixel imaging with Gaussian random sampling—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
Efficient Recovery of Jointly Sparse Vectors—0
Efficient Sampling for Learning Sparse Additive Models in High Dimensions—0
Electromagnetic Property Sensing: A New Paradigm of Integrated Sensing and Communication—0
Electromagnetic Property Sensing in ISAC with Multiple Base Stations: Algorithm, Pilot Design, and Performance Analysis—0
Energy-aware adaptive bi-Lipschitz embeddings—0
Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values—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