基于递归最小二乘滤波器的自适应噪声消除系统

Respuestas Pub Date : 2020-05-01 DOI:10.22463/0122820X.2435

Y. Beltrán-Gómez, J. Gómez-Rojas, R. Linero-Ramos

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引用次数: 0

摘要

在本文中，我们展示了一种自适应噪声消除器(ANC)，它可以估计带有噪声的原始音频信号。自适应系统采用递归最小二乘滤波器(RLS)实现。其设计参数考虑滤波器阶数、遗忘因子和初始条件，通过迭代得到最优系数。达到了10-6左右的中方误差(MSE)，这使得低成本实现成为可能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adaptive Noise Cancellation System Using a Recursive Least Squares Filter

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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