噪声与振动控制Issue(4)：101-103,118,4.DOI:10.3969/j.issn.1006-1335.2014.04.022
Volterra小波变换最优阈值的混沌去噪方法
Chaotic Signal Denoising Based on Optimal Threshold of Volterra and Wavelet Transforms
摘要
Abstract
How to determine the optimal threshold of chaotic signal based on wavelet transform is an important topic in chaotic identification. In this paper, a method for choosing the optimal threshold based on Volterra and wavelet transform is proposed. The chaotic signal is decomposed by wavelet transform. Then, a floating parameter is set to regulate the threshold of the wavelet signal in different scales according to the prediction error of the chaotic time series from the Volterra adaptive prediction. Denoising for chaotic time series generated by Lorenz system is simulated and the result is compared with those of the other methods. It is shown that the proposed method is effective.关键词
振动与波/混沌信号/最优阈值/小波变换/Volterra级数Key words
vibration and wave/chaotic signal/the optimal threshold/wavelet transform/Volterra series分类
通用工业技术引用本文复制引用
位秀雷,林瑞霖,刘树勇,杨爱波..Volterra小波变换最优阈值的混沌去噪方法[J].噪声与振动控制,2014,(4):101-103,118,4.基金项目
国家自然科学基金（51179197）；海洋工程国家重点实验室（上海交通大学）开放课题 （）
