基于小波变换的自混合干涉信号降噪方法

De-noising method of self-mixing interference signal based on wavelet transform

应用小波变换理论对光反馈自混合干涉信号进行小波降噪处理。处理中用db4小波做降噪小波基,对自混合干涉信号进行4层分解,经过阈值处理与小波重构得到降噪信号。对不同反馈机制下降噪前后信噪比、均方差的对比分析,结果表明小波降噪在消除噪声方面的有效性。

The theory of wavelet transform is used to carry out the wavelet de-noising for the self-mixing interference signals. To get the de-noised signal,there are three steps to be completed with the self-mixing interference signals ： being decomposed four layers by the wavelet primary function with the db4, threshold processing,and wavelet reconstruction. Compared the signal to noise ratio and the mean square error before the de-noised signal with the after in different feedback, it proved that de-noising with wavelet transform is effective on dispel noise.