基于小波变换模极大值的信号去噪方法研究

Research on wavelet modulus maxima in the signal de-noising method

信号在采集、转换和传输过程中,由于受到设备、环境及人为因素的影响,使信号不可避免地受到噪声干扰。因此,如何去除信号中的噪声,得到感兴趣的信息是信号处理过程中的一项关键技术。对基于小波变换模极大值的信号去噪问题进行了研究,根据信号和噪声的小波变换模极大值在不同尺度上表现出的不同的传播特性,给出了基于小波变换模极大值的去噪算法。数值实验结果表明了该算法的有效性和可行性。

In the process of collection, transformation and transmission, signals are often corrupted by noise ineluctably as a result of ineffective equipments, environments and even human errors. Denoising with the purpose of extracting desired information has been a crucial technique in signal processing. This paper discusses the signal de-noising problem based on wavelet transform modulus maxima. According to the different characters of wavelet transform modulus maxima of signal and noise, a de-noising algorithm based on wavelet transform modulus maxima is proposed. The experimental results show that this method is efficient and practical.