Robust adaptive filtering with variable risk‐sensitive parameter and kernel width

Similarity measures play a significant role in adaptive filtering. Previous work such as correntropy and kernel risk‐sensitive loss (KRSL), has successfully improved the technology of adaptive filtering in terms of robustness against outliers, fast convergence speed and high filtering accuracy. Base... View More