Cumulant-based stationary and nonstationary models for classification and synthesis of random fields

Keyphrases

• Random Field 100%
• Cumulants 100%
• Stationary Model 100%
• Space-variant 100%
• Non-Gaussian Random Field 100%
• Textured Images 100%
• Non-stationary Models 100%
• Spheroidal 50%
• Equation Method 50%
• Parameter Estimation 50%
• Autocorrelation 50%
• Linear Equations 50%
• Synthetic Space 50%
• Matching Techniques 50%
• Low Computational Complexity 50%
• Basis Expansion 50%
• 2D Model 50%
• Unknown Covariance 50%
• Additive White Gaussian Noise 50%
• Prolate 50%
• Delta Sequence 50%
• Nonstationary Modeling 50%
• Sample Estimates 50%
• Model Mismatch 50%

Mathematics

• Gaussian Random Field 100%
• Random Field 100%
• Cumulants 100%
• Smaller Variance 50%
• Sample Estimate 50%
• Covariance 50%
• Linear Equation 50%
• Spheroidal 50%
• Random Noise 50%
• Autocorrelation 50%