摘要
利用噪声信号小波变换的数学期望或小波变换模的平均密度随分解层次增加不断衰减的特性,结合Mallat分解与重构算法提出对信号进行小波变换分析的方法。运用db2和db5小波,对一受噪声污染的正弦电压信号分别进行5层分解。检测结果表明,选取合适的基小波和分解层次,能有效地实现信噪分离。
The mean density of the expectancy or wavelet transform mode of noise signal wavelet transform is declined with decomposition level. Based on this characteristic and combined with Mallat decomposition and reconstruction algorithm, a novel filtering method is proposed. The wavelet db2 and db5 are used to analyze a noise contaminated sine voltage signal. According to the result, through the selection of basic wavelet and decomposition level, de-noising can be done effectively.
出处
《计量学报》
EI
CSCD
北大核心
2006年第2期153-155,共3页
Acta Metrologica Sinica
