Automatic Bounding Estimation in Modified Nlms Algorithm

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.

Automatic Bounding Estimation in Modified Nlms Algorithm Keywords:

OBE , NLMS , MNLMS Algorithm , Over bounding , Under bounding , MLS Noise

Automatic Bounding Estimation in Modified Nlms Algorithm authors

A. M. Doost Hoseini

Electerical and Computer Engineering, Isfahan University of Technology

K. Shahtalebi

, Isfahan University of Technology

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Link to this Paper:

https://civilica.com/doc/1415725

Document National Code:

JR_IJE-15-1_004

Index date: 10 March 2022

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Doost Hoseini, A. M. and Shahtalebi, K.,1381,Automatic Bounding Estimation in Modified Nlms Algorithm,https://civilica.com/doc/1415725

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Paper count: 29,343

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