A compact neuromorphic architecture with dynamic multiplexing to efficiently compute a nearest Kronecker product decomposition based RLS-NLMS algorithm for active noise control headphones

Recently, embedded applications in resource-constrained electronic appliances are increasingly being used for noise reduction. Specifically, modern headphones are used to mitigate the environmental noise effects using advanced active noise control (ANC) systems. Despite achieving great performance,...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 503; S. 1 - 16
Hauptverfasser:	Vazquez, Angel, Garcia, Luis, Toscano, Karina, Sanchez, Juan-Carlos, Duchen, Gonzalo, Perez, Hector, Avalos, Juan-Gerardo, Sanchez, Giovanny
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 07.09.2022
Schlagworte:	Active noise control headphones FPGA Nearest Kronecker product Neuromorphic architecture Recursive least-squares algorithm Nearest Kronecker product Active noise control headphones Recursive least-squares algorithm FPGA Neuromorphic architecture
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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