Spherical Designs and Nonconvex Minimization for Recovery of Sparse Signals on the Sphere

Keyphrases

• T-design 100%
• Spherical Designs 100%
• Nonconvex Minimization Problem 100%
• Sparse Signal 100%
• Denoising 75%
• Spherical Harmonics 50%
• Fourier Coefficients 50%
• Cubature Rule 50%
• Basis Pursuit 50%
• Optimality Conditions 25%
• L1-norm 25%
• Penalty Method 25%
• Sparsity 25%
• Orthonormal 25%
• Lower Order 25%
• Property Condition 25%
• Coefficient Matrix 25%
• Numerical Performance 25%
• Reweighted 25%
• Equal Weights 25%
• Spherical Polynomials 25%
• L1 Minimization 25%
• Tensor Product 25%
• Fundamental System 25%
• Sparse Recovery 25%
• Lq Norm 25%
• Sharpness of Error Bounds 25%
• Approximation Signal 25%
• Recovery Properties 25%

Mathematics

• Spherical Design 100%
• Spherical Harmonic 100%
• Fourier Coefficient 100%
• Optimality 50%
• Polynomial 50%
• Starting Point 50%
• Sufficient Condition 50%
• Error Bound 50%
• Extremal 50%
• Unit Sphere 50%
• Tensor 50%
• Coefficient Matrix 50%
• Fundamental System 50%
• Penalty Method 50%
• Integral 50%