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compressed sensing

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Showing 251–300 of 992 papers

TitleStatusHype
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing—0
Compressed Sensing: A Discrete Optimization ApproachCode0
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models—0
AutoSamp: Autoencoding k-space Sampling via Variational Information Maximization for 3D MRICode0
Efficient Decoding of Compositional Structure in Holistic Representations—0
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing—0
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing—0
Deep Learning for Asynchronous Massive Access with Data Frame Length Diversity—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications—0
A Novel Low-Rank Tensor Method for Undersampling Artifact Removal in Respiratory Motion-Resolved Multi-Echo 3D Cones MRI—0
Energy-Efficient Precoding and Feeder-Link-Beam Matching Design for Bent-Pipe SATCOM Systems—0
Learning Task-Specific Strategies for Accelerated MRICode0
A Lightweight Recurrent Learning Network for Sustainable Compressed SensingCode0
Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints—0
Generalization and Estimation Error Bounds for Model-based Neural Networks—0
Cooperative Multi-Cell Massive Access with Temporally Correlated Activity—0
Joint Block-Sparse Recovery Using Simultaneous BOMP/BOLS—0
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach—0
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs—0
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics—0
Joint Multi-Echo/Respiratory Motion-Resolved Compressed Sensing Reconstruction of Free-Breathing Non-Cartesian Abdominal MRI—0
Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective—0
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRICode0
Generalization analysis of an unfolding network for analysis-based Compressed Sensing—0
Hyperspectral Compressive Wavefront Sensing—0
Multi-Target Cooperative Visible Light Positioning: A Compressed Sensing Based Framework—0
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and SynthesisCode0
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI—0
Review of Extreme Multilabel Classification—0
RIS-Position and Orientation Estimation in MIMO-OFDM Systems with Practical Scatterers—0
Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings—0
Accelerated First-Order Optimization under Nonlinear Constraints—0
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI—0
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning—0
DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data—0
TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition—0
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI—0
Curvature regularization for Non-line-of-sight Imaging from Under-sampled DataCode0
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery—0
CNN-based Timing Synchronization for OFDM Systems Assisted by Initial Path Acquisition in Frequency Selective Fading Channel—0
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation—0
Off-the-grid prediction and testing for linear combination of translated features—0
Fast Algorithm for Constrained Linear Inverse ProblemsCode0
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold—0
Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach—0
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing—0
Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing—0
Spiking sampling network for image sparse representation and dynamic vision sensor data compression—0
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity—0
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