1
Electerical and Computer Engineering, Isfahan University of Technology
2
, Isfahan University of Technology
Abstract
Modified Normalized Least Mean Square (MNLMS) algorithm, which is a sign form of NLMS based on set-membership (SM) theory in the class of optimal bounding ellipsoid (OBE) algorithms, requires a priori knowledge of error bounds that is unknown in most applications. In a special but popular case of measurement noise, a simple algorithm has been proposed. With some simulation examples the performance of algorithm is compared with MNLMS.
Doost Hoseini, A. M., & Shahtalebi, K. (2002). Automatic Bounding Estimation in Modified Nlms Algorithm. International Journal of Engineering, 15(1), 35-42.
MLA
A. M. Doost Hoseini; K. Shahtalebi. "Automatic Bounding Estimation in Modified Nlms Algorithm". International Journal of Engineering, 15, 1, 2002, 35-42.
HARVARD
Doost Hoseini, A. M., Shahtalebi, K. (2002). 'Automatic Bounding Estimation in Modified Nlms Algorithm', International Journal of Engineering, 15(1), pp. 35-42.
VANCOUVER
Doost Hoseini, A. M., Shahtalebi, K. Automatic Bounding Estimation in Modified Nlms Algorithm. International Journal of Engineering, 2002; 15(1): 35-42.
)