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- W2120485109 abstract "In this paper, a feedforward nonlinear active noise cancellation (NANC) system employing a neural network (NN) based filtered-X least mean square algorithm is developed. NN-NANC with linear secondary path (LSP) and nonlinear secondary path (NSP) are unified using virtual secondary path concept. The developed NN-NANC system is also extended to incorporate filtered-E based algorithm which results in reduced computational algorithm. Performance of the proposed algorithms is validated through computer simulations." @default.
- W2120485109 created "2016-06-24" @default.
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- W2120485109 date "2011-07-01" @default.
- W2120485109 modified "2023-09-27" @default.
- W2120485109 title "New neural network algorithms for nonlinear active noise cancellation with nonlinear secondary path" @default.
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- W2120485109 doi "https://doi.org/10.1109/icsccn.2011.6024561" @default.
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