Iterative Least Squares Algorithm Based on M-Estimation
Iterative Least Squares Algorithm utilizing M-Estimation with various robust estimators including Huber, Andrews, Hampel, and Ramsay functions for enhanced outlier resistance.
Explore MATLAB source code curated for "迭代最小二乘算法" with clean implementations, documentation, and examples.
Iterative Least Squares Algorithm utilizing M-Estimation with various robust estimators including Huber, Andrews, Hampel, and Ramsay functions for enhanced outlier resistance.
IRLS (Iteratively Reweighted Least Squares) algorithm is a powerful optimization method applicable to compressed sensing and adaptive filtering systems.