Arenas García, JerónimoAzpicueta Ruiz, Luis AntonioSilva, Magno T. M.Nascimento, Vitor H.Sayed, Ali H.2022-01-262022-01-262016-01Arenas-Garcia, J., Azpicueta-Ruiz, L. A., Silva, M. T., Nascimento, V. H. & Sayed, A. H. (2016). Combinations of Adaptive Filters: Performance and convergence properties. IEEE Signal Processing Magazine, 33(1), 120–140.1053-5888https://hdl.handle.net/10016/33959Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to more recent sensor network applications in surveillance, target localization, and tracking. A trending approach in this direction is to recur to in-network distributed processing in which individual nodes implement adaptation rules and diffuse their estimation to the network [4], [5].21eng© 2016, IEEE.Acoustic echo cancellationConvex combinationBlind equalizationAffine combinationVariable stepTransversal filtersSquares adaptationTransient analysisLMS algorithmIdentificationresearch articleTelecomunicacioneshttps://doi.org/10.1109/MSP.2015.2481746open access1201140IEEE Signal Processing Magazine33AR/0000017580