Greedy adaptive algorithms for sparse representations

Keyphrases

• Estimation Theory 100%
• Adaptive Algorithm 100%
• Greedy 100%
• Sparse Model 100%
• Information Theoretic Criteria 100%
• Coordinate Descent 100%
• Sparse Solution 100%
• Zero Element 100%
• Sparse Representation 100%
• Least Squares Criterion 100%
• Computationally Efficient 50%
• Signal Processing 50%
• Optimization Problem 50%
• Sliding Window 50%
• Convergence Rate 50%
• Global Optimum 50%
• Local Solution 50%
• Iterated Greedy Algorithm 50%
• Least Squares 50%
• Sparsity Level 50%
• Slow Variation 50%
• Sparse Methods 50%
• Coefficient Value 50%
• Matching Pursuit Algorithms 50%
• Combinatorial Search 50%
• QR Decomposition 50%
• Structured Sparsity 50%
• Model Sparsity 50%
• Matching Pursuit 50%
• Update Strategy 50%
• Numerical Complexity 50%
• Estimation Problem 50%
• Numerical Computation 50%
• Selection Strategy 50%
• Bayesian Information Criterion 50%
• Non-sparse 50%
• Exhaustive Search 50%
• Technological Progress 50%
• Performance Guarantee 50%
• Orthogonal Least Squares 50%
• Configuration Parameters 50%
• Number of Zeros 50%
• Sparsity-based Algorithm 50%
• Sparsity 50%
• Sparsity Constraint 50%
• Inherent Characteristics 50%
• Support Selection 50%
• Image Compressing 50%
• Direction of Arrival 50%
• Wireless Channel Estimation 50%
• Computational Optimization 50%
• Permutation-based 50%
• Group Sparse 50%
• Adaptive Method 50%
• Batch Matching 50%
• Sparse Structure 50%

Computer Science

• Adaptive Algorithm 100%
• Sparse Representation 100%
• Sparsity 100%
• Least Squares Method 66%
• Matching Pursuit 33%
• Sparse Solution 33%
• Good Performance 16%
• Limiting Factor 16%
• Sliding Window 16%
• Wireless Channel 16%
• Selection Strategy 16%
• Technological Advance 16%
• Pursuit Algorithm 16%
• Configuration Parameter 16%
• direction-of-arrival 16%
• Coefficient Value 16%
• Numerical Computation 16%
• Performance Guarantee 16%
• Nonzero Element 16%
• Convergence Speed 16%
• Exhaustive Search 16%
• Optimization Problem 16%
• Channel Estimation 16%
• Numerical Complexity 16%
• Information Criterion 16%
• Greedy Algorithm 16%

Engineering

• Sparsity 100%
• Least Square 66%
• Matching Pursuit 33%
• Good Performance 16%
• Model Parameter 16%
• Optimisation Problem 16%
• Nodes 16%
• Convergence Speed 16%
• Global Optimum 16%
• Limiting Factor 16%
• Pursuit Algorithm 16%
• Direction of Arrival 16%
• Selection Strategy 16%
• Exhaustive Search 16%
• Channel Estimation 16%
• Main Step 16%
• Inherent Characteristic 16%
• Technological Advance 16%
• Adaptive Method 16%
• Nonzero Element 16%
• Numerical Computation 16%
• Greedy Algorithm 16%