%0 Journal Article %A Young-Seok Choi %D 2016 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 109, 2016 %T Variable Regularization Parameter Normalized Least Mean Square Adaptive Filter %U https://publications.waset.org/pdf/10003879 %V 109 %X We present a normalized LMS (NLMS) algorithm with robust regularization. Unlike conventional NLMS with the fixed regularization parameter, the proposed approach dynamically updates the regularization parameter. By exploiting a gradient descent direction, we derive a computationally efficient and robust update scheme for the regularization parameter. In simulation, we demonstrate the proposed algorithm outperforms conventional NLMS algorithms in terms of convergence rate and misadjustment error. %P 129 - 132