Kumar, KrishnaKrishnaKumarKarthik, M. L.N.S.M. L.N.S.KarthikGeorge, Nithin V.Nithin V.George2025-08-312025-08-312024-08-0110.1016/j.sigpro.2024.1094692-s2.0-85188626587https://d8.irins.org/handle/IITG2025/28802The performance of conventional active noise control (ANC) systems degrades under non-Gaussian conditions. In the recent past, generalized filtered-x maximum correntropy criterion (FxGMCC) algorithm has been widely used to tackle such non-Gaussian noises. However, noise reduction performance of maximum correntropy criterion (MCC) based algorithms degrades due to the high steady-state misalignment. To overcome this limitation, a filtered-x exponential hyperbolic cosine adaptive filter (FxEHCAF) algorithm is proposed in this paper. Later, an affine combination technique has been applied and the corresponding affine FxEHCAF (A-FxEHCAF) algorithm has been developed here showing faster convergence rate in transient state along with low residual error in steady-state. Simulation study shows that the proposed FxEHCAF and A-FxEHCAF algorithms provide enhanced noise control performance over other existing algorithms.falseActive noise control | Affine combination | Exponential hyperbolic cosine function | Impulsive noise | Robust adaptive filtersArticleAugust 20249109469arJournal9WOS:001220787000001