FXRLS、FXAPA和FXLMS三种主动降噪算法在FMRI孔台上的性能比较

R.M. Reddy, I. Panahi, R. Briggs, E. Perez
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引用次数: 12

摘要

在fMRI试验台上对主动噪声控制算法(FX-RLS、FX-APA和FX-LMS)进行了测试。采用具有高采样率的浮点DSP硬件来确定ANC在高声压级(SPL)实时应用中的有效性。从路径也会根据需要进行计算和更新。本文给出的结果使用了一个真实的fMRI孔的主路径,该孔由0.76 m (D) x 1.52 m (L)的半圆柱形丙烯酸孔模拟。本文给出了ANC系统性能的详细结果。结果是通过使用自动化系统获得的,该系统设计用于系统地高精度测试任何频率范围。实验表明,LMS算法对单音噪声具有较好的稳定性,而RLS算法对fMRI噪声具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Comparison of FXRLS, FXAPA and FXLMS Active Noise Cancellation Algorithms on An FMRI Bore Test-Bed
Active Noise Control (ANC) Algorithms (FX-RLS, FX-APA and FX-LMS) are tested on an fMRI test-bed. Floating point DSP hardware with high sampling rates are used to ascertain the effectiveness of ANC in a real-time application containing high sound pressure levels (SPL). Secondary paths are also calculated and updated as necessary. The results presented use a realistic primary path of an fMRI bore simulated by a half cylindrical acrylic bore of 0.76 m (D) x 1.52 m (L). Detailed results of the performance of the ANC system are presented in the paper. The results were obtained by using an automated system, designed to systematically test any frequency range with high precision. Our experiments show that the LMS algorithm gives the best performance with good stability for single-tone noise but RLS algorithm shows better performance for fMRI noise.
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