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Active noise control using bacterial foraging optimization algorithm

Published • Oct 1, 2010
NobleIDNI7P50W22R38S41
Authors:
Shiva Gholami-Boroujeny
,
Mohammad Eshghi

Abstract

This paper proposes a nonlinear ANC system in which a new evolutionary algorithm based on the foraging behavior of E. coli bacteria is used for adaptive nonlinear filter coefficients optimization, called BFA_ANC. While the standard LMS based nonlinear filters may converge to local minima, the evolut...

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