摘要
根据信号和噪声经小波变换后在不同尺度上有不同的特征 ,将相邻尺度二进小波变换值的相关量进行归一化处理并与小波变换值比较来判断信号与噪声 ,以噪声在各尺度的方差作为终止迭代的标准 ,提出了一种基于二进小波变换小波域选择噪声的自适应滤波方法。研究了模拟信号的去噪过程、半峰宽和信噪比对去噪结果的影响 ,并对模拟含噪信号和含噪毛细管电泳信号去噪前后的结果进行了比较。实验结果表明 :由于该方法具有良好的自适应性和显著的滤波效果 ,必将得到广泛的应用。
An adaptive filter method, which is based on the different characteristic of signal with noise in different wavelet scales, was founded. The method was directly comparing the absolute values of Corr(2) (m, n) after being rescaled and W(m, n) to determine whether the data point W( m, n) should be kept. The standard deviation a. of noise at each scale m was employed to stop the iterating. The de-noising process, the effect of the full width at half-maximum and noise quantum were investigated, and before and after de-noise results for simulated and capillary electrophoresis signals were compared. The experimental results show that it is a better adaptive filter method and can be used to wipe off the noise effectively.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2002年第9期1102-1105,共4页
Chinese Journal of Analytical Chemistry
基金
国家自然科学基金 (No .2 99775 0 18)
国家教育部<高等学校骨干教师资助计划>
山东省自然科学基金
陕西省教育厅专项基金( 0 1jk0 76 )
西北大学校内基金资助项目
