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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 evolutionary algorithms may handle this problem efficiently and converge to the global minima. In addition,...
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