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The conventional Filtered-x Least Mean Square (FxLMS) shows poor performance in the presence of non linearities present in the primary and the secondary path. The functional link artificial neural network (FLANN) has been successfully applied to tackle the nonlinearity in the primary and secondary paths. However, all these methods of active noise control use a linear model to obtain an estimate of...
New block formulations for an active noise control (ANC) system using only convolution machines are presented. The proposed approaches are different from conventional block least-mean-square (LMS) algorithms that use both convolution and cross-correlation machines. The block implementation is also applied to the filtering of the reference signal by the secondary-path estimate. In addition to the use...
This paper presents a computationally efficient frequency domain block nonlinear active noise control algorithm. The computational complexity of nonlinear ANC algorithms is very high in comparison to the linear ANC algorithms like filtered-x LMS. Filtered-s LMS algorithm has been recently proposed as an effective ANC algorithm for nonlinear noise processes. In this paper, a frequency domain block...
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