基于小波阈值改进的去噪算法研究

在平常的信号检测中,常常伴随着信号噪声的存在,使得检测结果不准确,所以需要对信号进行去噪处理。而小波去噪在信号预处理方面应用广泛,特别是小波阈值去噪,操作简单且效果良好。针对软、硬阈值去噪方法进行分析,提出一种基于高次逼近法改进阈值的去噪方法。仿真实验表明,利用自适应阈值的高次逼近法,其去噪效果优于常规的软、硬阈值及高次逼近法,得到的信号效果更好。

Study of de-noising improved based on wavelet threshold

In the signal detection,the signal is often accompanied by the signal noise,making inaccurate test results,so there is need for signal denoising.The wavelet de-noising is widely used in signal preprocessing,especially the wavelet threshold de-noising is widely used due to the simple operation and good effect.In this paper,the soft and hard threshold de-noising methods are analyzed.A de-noising method with high order approximation method using adaptive threshold is proposed.The simulation results show that high order approximation method using adaptive threshold de-noising method is better than the conventional soft and hard threshold and higher order approximation method,the signal better.