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compressed sensing

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Showing 551–600 of 992 papers

TitleStatusHype
From Signal Space To STP-CS—0
From superposition to sparse codes: interpretable representations in neural networks—0
Fully Self-Gated Whole-Heart 4D Flow Imaging from a Five-Minute Scan—0
Fusion Learning for 1-Bit CS-based Superimposed CSI Feedback with Bi-Directional Channel Reciprocity—0
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities—0
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach—0
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems—0
Gaussian Approximation of Quantization Error for Estimation from Compressed Data—0
Generalization analysis of an unfolding network for analysis-based Compressed Sensing—0
Generalization and Estimation Error Bounds for Model-based Neural Networks—0
DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Bounds—0
Generalized Inpainting Method for Hyperspectral Image Acquisition—0
Generalized notions of sparsity and restricted isometry property. Part I: A unified framework—0
General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery—0
Generative Model Adversarial Training for Deep Compressed Sensing—0
Generator Surgery for Compressed Sensing—0
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs—0
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction—0
Geometric Inference for General High-Dimensional Linear Inverse Problems—0
GEO Payload Power Minimization: Joint Precoding and Beam Hopping Design—0
Ghost Imaging Based on Recurrent Neural Network—0
Globally Injective ReLU Networks—0
Gradient-descent quantum process tomography by learning Kraus operators—0
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning—0
Granger Causality for Compressively Sensed Sparse Signals—0
GraphLab: A New Framework For Parallel Machine Learning—0
Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink—0
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction—0
Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing—0
Gridless Tomographic SAR Imaging Based on Accelerated Atomic Norm Minimization with Efficiency—0
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection—0
Group Sparsity Methods for Compressive Space-Frequency Channel Estimation and Spatial Equalization in Fluid Antenna System—0
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip—0
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI—0
High Dimensional Channel Estimation Using Deep Generative Networks—0
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization—0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
High-speed real-time single-pixel microscopy based on Fourier sampling—0
How to warm-start your unfolding network—0
Hybrid learning of Non-Cartesian k-space trajectory and MR image reconstruction networks—0
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction—0
Hyperspectral Compressive Wavefront Sensing—0
Detection of Ghost Targets for Automotive Radar in the Presence of Multipath—0
Ideological Sublations: Resolution of Dialectic in Population-based Optimization—0
Image Acquisition System Using On Sensor Compressed Sampling Technique—0
Image Restoration from Patch-based Compressed Sensing Measurement—0
Image Super-Resolution Based on Sparsity Prior via Smoothed l_0 Norm—0
Image Super-Resolution Using T-Tetromino Pixels—0
Imaging with Equivariant Deep Learning—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
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