Derivative-Free MLSCD Conjugate Gradient Method for Sparse Signal and Image Reconstruction in Compressive Sensing

Keyphrases

• Conjugate Gradient Method 100%
• Derivative-free Method 100%
• Compressed Sensing 100%
• Sparse Reconstruction 100%
• Sparse Signal Reconstruction 100%
• L1-norm 50%
• Sparse Signal 50%
• Sparse Image 50%
• Minimization Problem 25%
• Line Search 25%
• Global Convergence 25%
• Optim 25%
• Numerical Results 25%
• Computational Experiment 25%
• Linear Inverse Problems 25%
• Unconstrained Minimization Problem 25%
• Backtracking Search Algorithm 25%
• Condition Equation 25%
• Convex Quadratic Program 25%
• Theory Method 25%
• Sparse Solution 25%
• Statistical Inference 25%
• Ill-conditioned Problem 25%
• Machine Learning Inference 25%

Engineering

• Conjugate Gradient Method 100%
• Compressive Sensing 100%
• Sparse Signal 100%
• Signal Reconstruction 100%
• Image Reconstruction 100%
• Line Search 50%
• Minimization Problem 50%
• Reformulation 25%
• Search Method 25%
• Fundamental Problem 25%
• Learning System 25%

Mathematics

• Conjugate Gradient Method 100%
• Minimization Problem 66%
• Inferential Statistics 33%
• Linear Inverse Problems 33%
• Quadratic Programming 33%