Towards probabilistic robust and sparsity-free compressive sampling in civil engineering: a review

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Compressed sensing with coherent and redundant dictionaries
Democracy in action: quantization, saturation, and compressive sensing
Approximate Bayesian computational methods
Instance-optimality in probability with an \(\ell _1\)-minimization decoder
Iterative thresholding for sparse approximations
The restricted isometry property and its implications for compressed sensing
Convex multi-task feature learning
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Algorithms for simultaneous sparse approximation. I: Greedy pursuit
Algorithms for simultaneous sparse approximation. II: Convex relaxation
Random projections of smooth manifolds
A simple proof of the restricted isometry property for random matrices
Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences
An introduction to compressed sensing
Efficient sensing of von Kármán vortices using compressive sensing
Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment
Simultaneous analysis of Lasso and Dantzig selector
Atomic decomposition by basis pursuit
Online learning for matrix factorization and sparse coding
Restricted isometry properties and nonconvex compressive sensing
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Decoding by Linear Programming
Greed is Good: Algorithmic Results for Sparse Approximation
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
Combinatorial Algorithms for Compressed Sensing
Compressive Sensing by Random Convolution
10.1162/15324430152748236
Dictionary Learning Algorithms for Sparse Representation
Bayesian Compressive Sensing
Bayesian Compressive Sensing Via Belief Propagation
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise
Multitask Compressive Sensing
Improved FOCUSS Method With Conjugate Gradient Iterations
Structured Compressed Sensing: From Theory to Applications
Modal Analysis With Compressive Measurements
Low-Complexity Multiclass Encryption by Compressed Sensing
Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-Scale Images
Rakeness in the Design of Analog-to-Information Conversion of Sparse and Localized Signals
Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property
Model-Based Compressive Sensing
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ ¹ minimization
Stable signal recovery from incomplete and inaccurate measurements
Compressed sensing
Moving force identification based on group Lasso and compressed sensing
Stratified sampling based compressed sensing for structured signals

This page was built for publication: Towards probabilistic robust and sparsity-free compressive sampling in civil engineering: a review

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6538371)