摘要
在小波域中分析了传统软阈值法和硬阈值法的特点,并在软硬阈值折衷法的基础上,提出了一种新方法;采用模糊滤波器对含噪信号进行预处理,从而降低白噪声的方差,然后采用软硬阈值折衷法对处理过的信号进行消噪,仿真实验表明,新方法可有效的抑制噪声。其消噪后的信噪比和均方误差均优于软硬阈值函数及其折衷算法,具有较好的消噪效果。
The traditional soft threshold value method and the hard threshold value method characteristic aren the wavelet domain, and proposed one new method based on hard and soft threshold method. Using fuzzy filter on noisy signals pretreatment, thereby reducing the variance of white noise, and then compromise the use of soft and hard threshold on processed signals denoising, simulation experiments show that the new method can effectively suppress the noise, after denoising, the signal to noise ratio and square error are better than hard and soft threshold function and the compromise algorithm, It has a good de-noising effect.
出处
《科学技术与工程》
2009年第18期5515-5517,5526,共4页
Science Technology and Engineering
关键词
小波变换
阈值
消噪
模糊滤波器
wavelet transform threshold denoising fuzzy filter
