Blind gain and phase calibration for low-dimensional or sparse signal sensing via power iteration

Keyphrases

• Sparse Signal 100%
• Phase Calibration 100%
• Power Iteration 100%
• Gain Calibration 100%
• Signal Sensing 100%
• Unknown Signal 42%
• Power Iteration Method 28%
• Error Bound 14%
• Error Analysis 14%
• Automatic Calibration 14%
• Numerical Experiments 14%
• Synthetic Aperture Radar 14%
• Radar Autofocus 14%
• Joint Sparsity 14%
• Sensor Array 14%
• Eigenvector 14%
• Sparse Structure 14%
• Sparsity 14%
• Noisy Measurements 14%
• Sensing System 14%
• Ill-posedness 14%
• Inverse Rendering 14%
• Eigenvector Problems 14%
• Albedo Measurement 14%
• Adversarial Conditions 14%
• Radar Sensor 14%
• Bilinear Inverse Problems 14%
• Truncated Powers 14%

Computer Science

• Sparsity 100%
• Inverse Problem 100%
• Synthetic Aperture Radar 100%
• Joint Sparsity 100%
• Initial Estimate 100%
• Eigenvector 100%
• Eigenvalue 100%
• Renewed Interest 100%

Engineering

• Sparse Signal 100%
• Phase Calibration 100%
• Sparsity 28%
• Iteration Algorithm 28%
• Eigenvalue 14%
• Error Bound 14%
• Joints (Structural Components) 14%
• Eigenvector 14%
• Numerical Experiment 14%
• Synthetic Aperture Radar 14%
• Autofocus 14%
• Sensor Array 14%
• Sensing System 14%
• Initial Estimate 14%
• Albedo 14%
• Posedness 14%
• Main Result 14%