Application of gaussian mixture models for blind separation of independent sources

Keyphrases

• Blind Separation 100%
• Gaussian Mixture Model 100%
• Non-stationarity 50%
• Non-gaussianity 50%
• Maximum Likelihood Estimator 25%
• Blind Source Separation 25%
• Superior Performance 25%
• Separation Techniques 25%
• Distribution Parameter 25%
• Model Parameter Estimation 25%
• Expectation-maximization Algorithm 25%
• Sensor Distribution 25%
• Joint Diagonalization 25%
• Source Separation 25%
• Separation Matrix 25%
• Model Covariance Matrix 25%
• Source Separation Methods 25%
• Instantaneous Mixture 25%

Engineering

• Gaussian Mixture Model 100%
• Independent Source 100%
• Stationarity 50%
• Non-Gaussianity 50%
• Model Parameter 25%
• Joints (Structural Components) 25%
• Maximum Likelihood 25%
• Blind Signal Separation 25%
• Covariance Matrix 25%
• Parameter Estimation 25%
• Expectation Maximization Algorithm 25%
• Source Separation 25%
• Distribution Parameter 25%

Computer Science

• Gaussian Mixture Model 100%
• Independent Source 100%
• maximum-likelihood 25%
• Blind Signal Separation 25%
• Parameter Estimation 25%
• Covariance Matrix 25%
• Sensor Distribution 25%
• Joint Diagonalization 25%
• Separation Matrix 25%
• Superior Performance 25%
• Source Separation 25%
• Instantaneous Mixture 25%