no code implementations • 22 Dec 2021 • Jerónimo Arenas-García, Luis A. Azpicueta-Ruiz, Magno T. M. Silva, Vitor H. Nascimento, Ali H. Sayed
Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation, array beamforming, channel equalization, to more recent sensor network applications in surveillance, target localization, and tracking.
no code implementations • 24 Jul 2020 • Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis A. Azpicueta-Ruiz, Aurelio Uncini
Nonlinear adaptive filters often show some sparse behavior due to the fact that not all the coefficients are equally useful for the modeling of any nonlinearity.
no code implementations • 8 Apr 2015 • Jesus Fernandez-Bes, Jerónimo Arenas-García, Magno T. M. Silva, Luis A. Azpicueta-Ruiz
In this paper, we deal with distributed estimation problems in diffusion networks with heterogeneous nodes, i. e., nodes that either implement different adaptive rules or differ in some other aspect such as the filter structure or length, or step size.
