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compressed sensing

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Showing 151–200 of 992 papers

TitleStatusHype
Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?—0
Integrated Sensing and Communication Signal Processing Based on Compressed Sensing Over Unlicensed Spectrum Bands—0
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing—0
Carrier Aggregation Enabled Integrated Sensing and Communication Signal Design and Processing—0
Non-Uniform Sampling Reconstruction for Symmetrical NMR Spectroscopy by Exploiting Inherent Symmetry—0
Detection of Ghost Targets for Automotive Radar in the Presence of Multipath—0
vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-ProblemsCode2
Fractal Compressive Sensing—0
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression—0
Sparse Models for Machine Learning—0
Self-Supervised Scalable Deep Compressed SensingCode1
A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation—0
Developability Approximation for Neural Implicits through Rank Minimization—0
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework—0
Motion-robust free-running volumetric cardiovascular MRICode1
Generative Priors for MRI Reconstruction Trained from Magnitude-Only Images Using Phase AugmentationCode1
An approach to Physics Based Single Photon Vision System Design—0
Tight-frame-like Analysis-Sparse Recovery Using Non-tight Sensing Matrices—0
Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters EstimationCode1
Deep Physics-Guided Unrolling Generalization for Compressed SensingCode1
Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing—0
Semantic-Aware Image Compressed Sensing—0
Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target—0
On the Adversarial Robustness of Generative Autoencoders in the Latent Space—0
Compressed Sensing Radar Detectors based on Weighted LASSO—0
Sparse Representations, Inference and Learning—0
Attention-Refined Unrolling for Sparse Sequential micro-Doppler ReconstructionCode0
Attention Hybrid Variational Net for Accelerated MRI Reconstruction—0
Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual DataCode1
Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor Search—0
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
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative ModelsCode1
AutoSamp: Autoencoding k-space Sampling via Variational Information Maximization for 3D MRICode0
Ambient Diffusion: Learning Clean Distributions from Corrupted DataCode1
Efficient Decoding of Compositional Structure in Holistic Representations—0
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing—0
Deep Learning for Asynchronous Massive Access with Data Frame Length Diversity—0
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing—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
Cooperative Multi-Cell Massive Access with Temporally Correlated Activity—0
Generalization and Estimation Error Bounds for Model-based Neural Networks—0
Joint Block-Sparse Recovery Using Simultaneous BOMP/BOLS—0
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