Kurian, Nikhil CherianNikhil CherianKurianPatel, KashyapKashyapPatelGeorge, Nithin V.Nithin V.George2025-08-302025-08-302017-02-0110.1016/j.apacoust.2016.10.0262-s2.0-84997328023https://d8.irins.org/handle/IITG2025/21781Nonlinear active noise control (ANC) systems, which employ a nonlinear filter as the adaptive controller is not robust when the primary noise to be mitigated has a non-Gaussian distribution. The algorithm which updates the weights of the controller may even diverge for some higher magnitude primary noise signals. With an objective to improve the robustness of nonlinear ANC systems, a correntropy based nonlinear ANC system is developed in this paper. The proposed ANC scheme uses an information theoretic learning approach and has been shown to provide robust noise mitigation even for non-Gaussian primary noise signals.falseActive noise control | Adaptive filter | Correntropy | Information theory | Robust algorithmArticle1872910X180-1841 February 201749arJournal47WOS:000390075000022