Open Science Research Excellence
@article{(International Science Index):,
  title    = {Variable Regularization Parameter Normalized Least Mean Square Adaptive Filter},
  author    = {Young-Seok Choi},
  country   = {Korea, Republic Of},
  institution={Kwangwoon University},
  abstract  = {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.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {10},
  number    = {1},
  year      = {2016},
  pages     = {129 - 132},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 109, 2016},