Computationally efficient robust adaptive filtering algorithm based on improved minimum error entropy criterion with fiducial points
Recently, there has been a strong interest in the minimum error entropy (MEE) criterion
derived from information theoretic learning, which is effective in dealing with the multimodal …
derived from information theoretic learning, which is effective in dealing with the multimodal …
Minimum error entropy high-order extend Kalman filter with fiducial points
High-order extend Kalman filtering (HEKF) is an excellent tool for addressing state
estimation challenges in highly nonlinear systems under Gaussian noise conditions …
estimation challenges in highly nonlinear systems under Gaussian noise conditions …
A highly efficient ADMM-based algorithm for outlier-robust regression with Huber loss
Huber robust regression (HRR) has attracted much attention in machine learning due to its
greater robustness to outliers compared to least-squares regression. However, existing …
greater robustness to outliers compared to least-squares regression. However, existing …