TY - GEN
T1 - The ε-normalized sign regressor least mean square (NSRLMS) adaptive algorithm
AU - Faiz, Mohammed Mujahid Ulla
AU - Zerguine, Azzedine
PY - 2011
Y1 - 2011
N2 - In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (EMSE) of the-normalized sign regressor least mean square (NSRLMS) adaptive algorithm. Finally, it is shown that simulations performed for both the cases of white and correlated Gaussian regressors substantiate very well the theory developed.
AB - In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (EMSE) of the-normalized sign regressor least mean square (NSRLMS) adaptive algorithm. Finally, it is shown that simulations performed for both the cases of white and correlated Gaussian regressors substantiate very well the theory developed.
UR - https://www.scopus.com/pages/publications/84857475742
U2 - 10.1109/ICSIPA.2011.6144114
DO - 10.1109/ICSIPA.2011.6144114
M3 - Conference contribution
AN - SCOPUS:84857475742
SN - 9781457702419
T3 - 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
SP - 556
EP - 558
BT - 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
ER -