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Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery
Nan Meng
, Yun Bin Zhao
Research output
:
Journal Publication
›
Article
›
peer-review
30
Citations (Scopus)
Overview
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Dive into the research topics of 'Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery'. Together they form a unique fingerprint.
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Keyphrases
Hard Thresholding Algorithm
100%
Newton Step
100%
Sparse Signal Recovery
100%
Compressed Sensing
50%
Iterative Hard Thresholding
50%
Newton-like
50%
Hard Thresholding Pursuit
50%
Existing Algorithms
25%
Gradient Method
25%
Sensing Matrix
25%
Parameter Change
25%
Signal Recovery
25%
Nonlinear Optimization Problem
25%
Search Direction
25%
Sparse Optimization Problem
25%
Pursuit Algorithm
25%
Signal Approximation
25%
Synthetic Signals
25%
Residual Reduction
25%
Numerical Behavior
25%
Residual Parameters
25%
Optimization Theory
25%
Steepest Descent Direction
25%
Restricted Isometry Property
25%
Engineering
Sparse Signal
100%
Hard Thresholding
100%
Optimisation Problem
40%
Compressed Sensing
40%
Nonlinear Optimization
20%
Sufficient Condition
20%
Search Direction
20%
Pursuit Algorithm
20%
Steepest Descent Direction
20%
Restricted Isometry Property
20%
Mathematics
Thresholding
100%
Step Newton
100%
Matrix (Mathematics)
20%
Sufficient Condition
20%
Residuals
20%
Steepest Descent Direction
20%
Search Direction
20%