基于信噪比经验值的奇异值分解滤波门限确定

Decision of threshold for singular value decomposition filter based on SNR's empirical value

针对奇异值分解滤波器(SVDF)现有的奇异值截断准则之不足,提出了一种基于信噪比经验值的SVDF滤波门限确定新方法。推导了门限值与信噪比之间的数学关系。实验结果证实了该滤波消噪算法的有效性和合理性。与现有方法相比,消噪效果得以明显改进;而且原理清晰,实现简单。

Aiming at shortcomings of the existing singular value trun.cation criterion of singular value decomposition fiher （SVDF）, this paper put forward a new method to decide the threshold for SVDF, based on the empirical value of signal to noise ratio（SNR）. It deduced the mathematical relation between the threshold and SNR. Finally, approved the rationality and validity of the promoted noise-elimination algorithm with SVDF by the experiment results. Compared to the existing methods, the effect of noise elimination is obviously improved, with clear principle and easy implement.