VS-APA、QR-RLS和近似APA在助听器反馈消除中的性能分析

S. Mohammad Nikjoo, S.M.A. Moghadas, A. Salmanpour, A.S. Tehrani
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引用次数: 2

摘要

不同的自适应滤波算法用于助听器的反馈抵消。在本文中,我们将首先解释三种不同的反馈抵消算法,它们对彩色输入信号具有鲁棒性。这些算法包括使用Gram-Schmidt预测的近似仿射投影、变步长APA算法和QR-RLS算法。然后,我们将这些算法用于助听器的反馈抵消。在我们的实现中,我们使用了两种输入信号,声音形状信号和音乐形状信号。然后,分析了这些算法在每种情况下的性能,并给出了仿真结果,以便更好地进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of VS-APA, QR-RLS and Approximated APA on Feedback Cancellation in Hearing Aids
Different adaptive filter algorithms are used for feedback cancellation in hearing aids. In this paper first, we will explain three different algorithms for feedback cancellation, which are robust against colored input signals. These algorithms are including the Approximated Affine Projection using Gram-Schmidt prediction, the Variable Step-size APA algorithm, and the QR-RLS algorithm. Then, we will use these algorithms in feedback cancellation in hearing aids. We use two kinds of input signals in our implementation, the sound shape signal and the music shape signal. Then, the performance of these algorithms in each case is analyzed, simulation results are presented for a better comparison.
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