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作者采用了MLMS算法自适应消噪声器来消除肺音信号中的心音干扰。MLMS算法对步长因子μ的选择限制不严;可以选得比LMS算法所用的大得多,以增加自适应跟踪速度。本文介绍了应用的实际效果。
The authors adopted the MLMS algorithm adaptive noise canceler to eliminate the heart sound interference in the lung sound signal. The MLMS algorithm lacks constraints on the choice of the step size factor μ; it can be chosen to be much larger than the LMS algorithm used to increase the adaptive tracking speed. This article describes the practical effect of the application.