| 基于小波变换的非平稳信号趋势项剔除方法 |
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| 引用本文： | 朱学锋 韩宁. 基于小波变换的非平稳信号趋势项剔除方法[J]. 飞行器测控学报, 2006, 25(5): 81-85 |
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| 作者姓名： | 朱学锋 韩宁 |
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| 作者单位： | 92941部队 辽宁葫芦岛125001 |
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| 摘 要： | 分析了空间飞行器遥测信号处理传统趋势项剔除方法的优势和不足,提出了基于小波变换的非平稳信号趋势项剔除方法。这种方法通过滤波器组将信号分解与重构,实现趋向性信号与零均值平稳随机信号的分离。仿真实验表明,该方法简单、高效,适用于非平稳随机信号的处理,是一种实用的趋势项剔除方法。
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| 关 键 词： | 趋势项 小波变换 非平稳随机信号 自回归综合滑动平均(ARIMA)模型 |
| 收稿时间： | 2006-04-20 |
| 修稿时间： | 2006-05-22 |
Removal of Trend from Non-Stationary Signal Based on Wavelet Transformation |
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| ZHU Xue-feng,HAN Ning. Removal of Trend from Non-Stationary Signal Based on Wavelet Transformation[J]. Journal of Spacecraft TT&C Technology, 2006, 25(5): 81-85 |
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| Authors: | ZHU Xue-feng HAN Ning |
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| Affiliation: | PLA Unit 92941, Huludao, Liaoning Province 125001 |
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| Abstract: | This paper analyzes the superiorities and shortcomings of traditional trend-removal methods and puts forward a method based on wavelet transformation to remove the trend of non-stationary signals.Based on decomposition and reconstruction of the signals by filter sets,the trend-signal is separated from stationary stochastic signals.Experiment results show that the method can be applied easily and efficiently to deal with non-stationary stochastic signals and remove trend signal. |
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| Keywords: | Trend Wavelet Transformation Non-Stationary Signal ARIMA model |
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