摘要
基于多分辨率分析的思想,提出了一种改进的小波去噪方法.通过细化小波分解信号,能够更有效地提取出非线性系统信号.同时,根据不同尺度下小波信号的信噪比灵活地选取阈值,更加符合实际情况,有利于改善去噪效果.对Lorenz混沌时间序列和黄河年径流时间序列分别进行了仿真,结果表明了所提方法的有效性.*
A new method is proposed to reduce noise within chaotic signal based on multi-resolution wavelet transform. This method can effectively extract the nonlinear signals by decomposing the noisy details with wavelet analysis, and can choose different thresholds neatly according to the signal noise ratio on different scales. This method is more accordant to the application and can improve the noise reduction results. Chaotic time series generated by Lorenz system and the Yellow River annual runoff time series are simulated to compare with other methods, and the results of simulation prove the effectiveness of the proposed method.
出处
《信息与控制》
CSCD
北大核心
2005年第5期543-547,共5页
Information and Control
基金
国家自然科学基金资助项目(60374064)
关键词
多分辨率分析
混沌序列
小波阈值
multi-resolution analysis
chaotic series
wavelet threshold
