基于自适应阈值的提升小波去噪方法

摘要

鉴于传统的去噪算法中的阈值很难选取到最优值,设计了自适应的阈值选取器,结合最小均方算法和小渡阈值去噪算法,提出了一种基于LMS算法的小波去噪方法.该方法根据LMS算法来自适应地控制阈值参数,并实现提升小波阈值去噪.仿真结果表明,该方法优于传统去噪方法,可较大程度地减少信号中的噪声,提高输出信号的信噪比,能很好地提取有用信号的特征.%In view of difficulty to select the optimal threshold value in the traditional de-noising algorithm, a device was designed, which can adaptively select threshold. A novel de-noising method with adaptive threshold value adjustment was proposed, which using LMS algorithm and threshold de-noising method based on wavelet transform. Using LMS algorithm, the method adaptively controled threshold, and made threshold de-noising base on lifting wavelet. The simulation results show that the method is more better than traditional de-noising method. It can greatly reduce the noise of the signal and improve the signal-to-noise ratio of the output signal, and extract characteristics of the useful signal effectivly.