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compressed sensing

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Showing 301–350 of 992 papers

TitleStatusHype
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods—0
Improved Support Recovery in Universal One-bit Compressed Sensing—0
Compressed-Sensing-Based 3D Localization with Distributed Passive Reconfigurable Intelligent Surfaces—0
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance—0
A Unitary Transform Based Generalized Approximate Message PassingCode0
Compressive Image Classification using Deterministic Sensing Matrices—0
Compressed CPD-Based Channel Estimation and Joint Beamforming for RIS-Assisted Millimeter Wave Communications—0
Compressed sensing radar detectors under the row-orthogonal design model: a statistical mechanics perspective—0
Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact RecoveryCode0
Image Compressed Sensing with Multi-scale Dilated Convolutional Neural NetworkCode0
Granger Causality for Compressively Sensed Sparse Signals—0
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning—0
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction—0
Lightweight 1-D CNN-based Timing Synchronization for OFDM Systems with CIR UncertaintyCode0
A detail-enhanced sampling strategy in Hadamard single-pixel imaging—0
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip—0
Imaging with Equivariant Deep Learning—0
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolationCode0
Compressed Sensing Based RFI Mitigation and Restoration for Pulsar Signals—0
GEO Payload Power Minimization: Joint Precoding and Beam Hopping Design—0
Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions—0
Asynchronous Multiuser Detection for SCMA with Unknown Delays: A Compressed Sensing Approach—0
Self-supervised Enhanced Radar Imaging Based on Deep-Learning-Assisted Compressed Sensing—0
Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing—0
Multimodal sensor fusion in the latent representation space—0
Gradient-descent quantum process tomography by learning Kraus operators—0
Aztec curve: proposal for a new space-filling curve—0
On Exact and Robust Recovery for Plug-and-Play Compressed Sensing—0
A coherence parameter characterizing generative compressed sensing with Fourier measurements—0
Dual-space Compressed Sensing—0
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing—0
Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem—0
Equivariant Priors for Compressed Sensing with Unknown Orientation—0
Global Sensing and Measurements Reuse for Image Compressed SensingCode0
Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation—0
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects—0
Localized adversarial artifacts for compressed sensing MRI—0
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural NetworksCode0
Memory-efficient model-based deep learning with convergence and robustness guarantees—0
Non-Iterative Recovery from Nonlinear Observations using Generative Models—0
Analog Compressed Sensing for Sparse Frequency Shift Keying Modulation Schemes—0
A hybrid approach to seismic deblending: when physics meets self-supervision—0
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation—0
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems—0
DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Bounds—0
An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior DistillationCode0
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review—0
PS-Net: Learned Partially Separable Model for Dynamic MR Imaging—0
Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing—0
TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network—0
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