摘要
提出了一种基于最优小波包基的信号去噪算法,该算法以小波包分析为基础,根据最小代价原理搜索信号分解的最优基,然后对高频和低频系数采用不同的阈值算法进行量化,用量化后的系数重构得到去噪后的信号.实验结果表明该算法对于信号去噪是十分有效的.
An Algorithm based on best wavelet packet groups is given in this paper, which bases on wavelet packet analysis and looks for best groups of signal analysis for least costs principle. In this paper, the method of dealing coefficient is different for high frequency and lower frequency coefficients, and the denoised signal is got with these coefficients. The results of experiment indicate the algorithm is very effective.
出处
《德州学院学报》
2005年第2期72-75,共4页
Journal of Dezhou University
关键词
小波包变换
最优基
阈值函数
信号去噪
wavelet packet transforming
best groups thresholding function
signal denoising
