Adaptive Noise Cancellation System Using a Recursive Least Squares Filter

Sistema adaptativo de cancelación de ruido usando filtros de mínimos cuadrados

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Beltrán-Gómez, Y., Gómez-Rojas, J., & Linero-Ramos, R. . (2020). Adaptive Noise Cancellation System Using a Recursive Least Squares Filter. Respuestas, 25(2), 42–48. https://doi.org/10.22463/0122820X.2435
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Published: May 1, 2020
Doi
https://doi.org/10.22463/0122820X.2435
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PlumX
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Vol. 25 No. 2 (2020)
Section
Investigation articles
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.

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Yesica Beltrán-Gómez
Universidad del Magdalena
https://orcid.org/0000-0001-8437-4082
Jorge Gómez-Rojas
Universidad del Magdalena
https://orcid.org/0000-0002-0840-8743
Rafael Linero-Ramos
Universidad del Magdalena
https://orcid.org/0000-0003-3361-2719
Abstract
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.
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References

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