| 一种适用于流数据分析的快速EMD算法 |
| |
| 引用本文： | 胡利萍,宋恩亮,李宝清,袁晓兵. 一种适用于流数据分析的快速EMD算法[J]. 振动与冲击, 2012, 31(8): 116-120. DOI: |
| |
| 作者姓名： | 胡利萍 宋恩亮 李宝清 袁晓兵 |
| |
| 作者单位： | 中国科学院上海微系统与信息技术研究所无线传感网实验室，上海 200050 |
| |
| 摘 要： | 采用具有局域控制特性的B样条函数直接拟合均值线，采用局域标准差终止准则判断原型模态函数（Proto-mode Function，PMF）的对称性，得到一种适用于流数据分析的快速经验模态分解（Empirical Mode Decomposition，EMD）算法。相比经典EMD算法，该快速算法不仅时间复杂度和空间复杂度均有所下降，而且分解精度基本维持不变。该快速算法适用于战场侦察传感网等流数据分析场合，实时性好，能够得到与序列等长的连贯本征模态函数（Intrinsic Mode Function，IMF）。
|
| 关 键 词： | 快速EMD B样条函数 局域终止准则 流数据 |
| 收稿时间： | 2010-11-25 |
| 修稿时间： | 2011-01-27 |
A new fast EMD algorithm for streaming data analysis |
| |
| HU Li-ping , SONG En-liang , LI Bao-qing , YUAN Xiao-bing. A new fast EMD algorithm for streaming data analysis[J]. Journal of Vibration and Shock, 2012, 31(8): 116-120. DOI: |
| |
| Authors: | HU Li-ping SONG En-liang LI Bao-qing YUAN Xiao-bing |
| |
| Affiliation: | Laboratory of Wireless Sensor Network, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China |
| |
| Abstract: | A new fast empirical mode decomposition(EMD) algorithm was developed adopting moving mean averages of extrema with a combination of B splines and the local stopping criterion to estimate the symmetry of proto-mode function,it was suitable for streaming data analysis.Compared to classical EMD,both of time complexity and space complexity of the fast algorithm decreased markedly,but the decomposition precision retained.It was especially appropriate for streaming data analysis,such as,in occasion of war sensor networks,for its real time and continuous intrinsic mode functions acquired. |
| |
| Keywords: | fast EMD B spline local stopping criterion streaming data |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《振动与冲击》浏览原始摘要信息 |
|
点击此处可从《振动与冲击》下载免费的PDF全文 |
|
