一种改进的模极大值小波域的去噪算法研究

利用小波变换消除噪声有很多方法，模极大值小波域消噪算法是比较好的一种算法，但是该算法只能采用二进制尺度分解，这限制了一些信号的分析结果。作者针对该不足进行了改进，采用自适应选择分解尺度代替二进制尺度分解尺度。仿真实验证明：改进的模极大值小波域消噪算法比原算法在提高信噪比上更加有效。

Study on denoising algorithm based on improved modulus maximum wavelet field

Signal and noise have different characteristics in wavelet transformation. There are a lot of algorithms in this field. A denoising algorithm based on modulus maximum wavelet field is a better one. But it has defects, and dyadic scale is not the optimal selection.As the scales are determined by the signal variation in wavelet transformation. This paper is intended to make some improvement.The simulations prove that the algorithm has better denoising performance than the novel denoising algorithm based on modulus maximum wavelet field in some fields.