| 局部特征尺度分解改进算法 |
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| 引用本文： | 盛沛,崔伟成,杨永彬,许爱强.局部特征尺度分解改进算法[J].海军航空工程学院学报,2019,34(4):337-342. |
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| 作者姓名： | 盛沛 崔伟成 杨永彬 许爱强 |
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| 作者单位： | 海军航空大学,山东烟台,264001;91291部队,海南三亚,572000 |
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| 摘 要： | 针对局部特征尺度分解估计包络曲线时未考虑其凹凸性的问题,提出了一种改进的算法。首先,利用3次样条插值方法进行均值点估计,结合前向以及后向插值2种方法,给出了双向形式;其次,参照标准算法,给出了具体的改进算法实现步骤;最后,通过仿真实例验证了有效性。
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| 关 键 词： | 局部特征尺度分解 经验模态分解 局部均值分解 |
Improved Algorithm of Local Characteristic-Scale Decomposition |
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| SHENG Pei,CUI Weicheng,YANG Yongbin and XU Aiqiang.Improved Algorithm of Local Characteristic-Scale Decomposition[J].Journal of Naval Aeronautical Engineering Institute,2019,34(4):337-342. |
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| Authors: | SHENG Pei CUI Weicheng YANG Yongbin and XU Aiqiang |
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| Institution: | Naval Aviation University, Yantai Shandong 264001, China,Naval Aviation University, Yantai Shandong 264001, China,The 91291st Unit of PLA, Sanya Hainan 572000, China and Naval Aviation University, Yantai Shandong 264001, China |
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| Abstract: | An improved algorithm was proposed focusing on the problem of envelope curves estimated without consideringconvexity when local characteristic-scale decomposition was used. Firstly, the cubic spline interpolation method was usedto estimate the mean points. Secondly, the implementation steps of the improved algorithm were given by referring to thestandard algorithm. Finally, the effectiveness was illustrated by simulation examples. |
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| Keywords: | local characteristic-scale decomposition empirical mode decomposition local mean decomposition |
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