Adaptive Noise Cancellation System Using a Recursive Least Squares Filter

Autor:	Rafael Linero-Ramos, Jorge Gómez-Rojas, Yesica Beltrán-Gómez
Rok vydání:	2020
Předmět:	Recursive least squares filter Filter design Noise Square error Computer science Adaptive system General Engineering Forgetting factor Algorithm Signal Active noise control
Zdroj:	Respuestas. 25
ISSN:	2422-5053 0122-820X
DOI:	10.22463/0122820x.2435
Popis:	In this paper, we show an Adaptive Noise Canceller (ANC) that estimate an original audio a signal measured with noise. Adaptive system is implemented using a Recursive Least Squares filter (RLS). Its design parameters consider the filter order, forgetting factor and initial conditions to obtain optimal coefficients through iterations. A medium square error (MSE) around to 10-6 is reached, and with this it makes possible a low-cost implementation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5ab947e5b413279697ccf87a2e8e90c8 https://doi.org/10.22463/0122820x.2435 Zobrazit plný text záznamu