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compressed sensing

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Showing 651–700 of 992 papers

TitleStatusHype
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems—0
Sparse Recovery from Extreme Eigenvalues Deviation Inequalities—0
Sparse Recovery via Partial Regularization: Models, Theory and Algorithms—0
Sparse Recovery with Very Sparse Compressed Counting—0
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices—0
Sparse Representations, Inference and Learning—0
Sparse Signal Recovery for Binary Compressed Sensing by Majority Voting Neural Networks—0
Generative Imaging and Image Processing via Generative Encoder—0
Sparsification via Compressed Sensing for Automatic Speech Recognition—0
Sparsifying dimensionality reduction of PDE solution data with Bregman learning—0
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing—0
Sparsity averaging for radio-interferometric imaging—0
An approach to Physics Based Single Photon Vision System Design—0
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC—0
Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model—0
Spatial Wideband Channel Estimation for MmWave Massive MIMO Systems with Hybrid Architectures and Low-Resolution ADCs—0
Spatio-temporal reconstruction of substance dynamics using compressed sensing in multi-spectral magnetic resonance spectroscopic imaging—0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals—0
Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging—0
Spectral Compressed Sensing via Structured Matrix Completion—0
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression—0
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing—0
Spiking sampling network for image sparse representation and dynamic vision sensor data compression—0
Stability and Risk Bounds of Iterative Hard Thresholding—0
Stabilizing Deep Tomographic Reconstruction—0
Memory-efficient model-based deep learning with convergence and robustness guarantees—0
Statistical learning of rational wavelet transform for natural images—0
Statistical mechanical analysis of sparse linear regression as a variable selection problem—0
Statistical Mechanics of High-Dimensional Inference—0
Structured Dictionary Learning for Classification—0
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation—0
Study on Compressed Sensing of Action Potential—0
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications—0
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data with RACE—0
Sub-Nyquist Radar Systems: Temporal, Spectral and Spatial Compression—0
Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid—0
Subspace Embeddings Under Nonlinear Transformations—0
SUNLayer: Stable denoising with generative networks—0
Support Recovery in Universal One-bit Compressed Sensing—0
Support Recovery of Sparse Signals from a Mixture of Linear Measurements—0
Survey of Matrix Completion Algorithms—0
T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration—0
Task-Driven Dictionary Learning—0
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories—0
TELET: A Monotonic Algorithm to Design Large Dimensional Equiangular Tight Frames for Applications in Compressed Sensing—0
TenDSuR: Tensor-Based 4D Sub-Nyquist Radar—0
Tensor completion and low-n-rank tensor recovery via convex optimization—0
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review—0
The Average-Case Time Complexity of Certifying the Restricted Isometry Property—0
The constrained Dantzig selector with enhanced consistency—0
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