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compressed sensing

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Showing 51–100 of 992 papers

TitleStatusHype
Windowed Dictionary Design for Delay-Aware OMP Channel Estimation under Fractional Doppler—0
Training a neural netwok for data reduction and better generalizationCode0
WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing—0
Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging ProblemsCode0
Practical Compact Deep Compressed SensingCode2
From Signal Space To STP-CS—0
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders—0
Fast MRI for All: Bridging Equity Gaps via Training without Raw Data Access—0
Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging—0
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training—0
Compressive Spectrum Sensing with 1-bit ADCs—0
Newtonized Orthogonal Matching Pursuit for High-Resolution Target Detection in Sparse OFDM ISAC Systems—0
Sparse Reconstruction of Wavefronts using an Over-Complete Phase DictionaryCode0
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction—0
Signal Processing via Cross-Dimensional Projection—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
Learning k-body Hamiltonians via compressed sensing—0
Learning Structured Compressed Sensing with Automatic Resource Allocation—0
Line Spectral Analysis Using the G-Filter: An Atomic Norm Minimization Approach—0
Solve Mismatch Problem in Compressed SensingCode0
Theoretical limits of descending _0 sparse-regression ML algorithms—0
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns—0
Mutual Coupling-Aware Channel Estimation and Beamforming for RIS-Assisted Communications—0
Channel Estimation for Movable Antenna Aided Wideband Communication Systems—0
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories—0
Unrolled denoising networks provably learn optimal Bayesian inference—0
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing—0
Low Complexity DoA-ToA Signature Estimation for Multi-Antenna Multi-Carrier Systems—0
A Hierarchical View of Structured Sparsity in Kronecker Compressive Sensing—0
Compressed Sensing based Detection Schemes for Differential Spatial Modulation in Visible Light Communication Systems—0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms—0
Characterization of point-source transient events with a rolling-shutter compressed sensing system—0
A Unified Plug-and-Play Algorithm with Projected Landweber Operator for Split Convex Feasibility Problems—0
Parseval Convolution Operators and Neural Networks—0
Research on Personalized Compression Algorithm for Pre-trained Models Based on Homomorphic Entropy Increase—0
RIP sensing matrices construction for sparsifying dictionaries with application to MRI imaging—0
Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid—0
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
Empowering 5G PRS-Based ISAC with Compressed Sensing—0
Adaptive Compressed Sensing with Diffusion-Based Posterior SamplingCode1
Variational Learning ISTA—0
Joint Channel and Data Estimation for Multiuser Extremely Large-Scale MIMO Systems—0
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction—0
Marrying Compressed Sensing and Deep Signal Separation—0
Sparsifying dimensionality reduction of PDE solution data with Bregman learning—0
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data—0
Compressive Beam Alignment for Indoor Millimeter-Wave Systems—0
CMAR-Net: Accurate Cross-Modal 3D SAR Reconstruction of Vehicle Targets with Sparse-Aspect Multi-Baseline Data—0
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory MatchingCode2
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order OptimizationCode0
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