摘要
随着小波理论的日益完善,小波分析在信号降噪领域已经得到越来越广泛的应用。首先讨论了小波分析的基本特点;其次通过理论分析和MATLAB仿真实验,详细讨论了四种降噪方法:阈值降噪法、平移不变量小波阈值降噪法、模极大值降噪法、基于各尺度下小波系数相关性降噪法。最后,对这几种算法的降噪效果进行了比较。
Wavelet theory has been widely used in signal de-noising with its theoretical completeness. At first, the thesis introduces wavelet property. Secondly, the thesis discusses four methods of signal de-noising： wavelet threshold de-noising, translation-invariant, modulus maximum de-noising and SSNF（spatially selective noise filtration） by theory analysis and MATLAB simulation in detail. Finally, the effects of the methods in de-noising are compared.
出处
《信息技术》
2008年第3期4-5,16,共3页
Information Technology
基金
江苏省自然科学基金项目资助(BK2006235)
南京邮电大学项目资助(NY207050)
