Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
The Restricted Isometry Property and Its Implications for Compressed Sensing
An Introduction To Compressive Sampling
Multi-Task Compressive Sensing
From sparse solutions of systems of equations to sparse modeling of signals and images
RIPless compressed sensing from anisotropic measurements
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
Optimal exact least squares rank minimization
Random Filters for Compressive Sampling and Reconstruction
Efficient Compressive Sensing with Deterministic Guarantees Using Expander Graphs
A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications
Iteratively re-weighted least squares for sparse signal reconstruction from noisy measurements
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
Turbo Compressed Sensing with Partial DFT Sensing Matrix
How to Design Message Passing Algorithms for Compressed Sensing
Greedy Algorithms for Joint Sparse Recovery
Practical Compressed Sensing: Modern data acquisition and signal processing
Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization
Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit
bregman iterative algorithms for \ ell1 - minimization with applications to compressed sensing .
Ensuring Privacy in Opportunistic Network
Neural Networks and Graph Algorithms with Next-Generation Processors
LaSTUS/TALN @ CLSciSumm-17: Cross-document Sentence Matching and Scientific Text Summarization Systems
Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
A RF tunable impedance matching network with a complete design and measurement methodology