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New concept of getting data trend based on EMD and application

机译:基于EMD的数据趋势获取新概念及其应用

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摘要

Aiming at the need of getting data trend in a project, the paper introduces the Empirical Mode Decomposition. According to the characteristic of real measurement data, the paper proposes a new method of getting the data trend based on Empirical Mode Decomposition. The new concept validates the noise distributing rule of measure data and reflects the characteristic of Empirical Mode Decomposition. Compared with the polynomial filter, the new algorithm keeps the integrality of data information, effectively reduces the effect of noise, improves the reliability of data information, and gets the data trend. Through simulation result, the new concept is proved to be valid and applicable.
机译:针对需要获得项目数据趋势的需求,本文介绍了经验模式分解。根据实测数据的特点,提出了一种基于经验模态分解的数据趋势获取新方法。新概念验证了测量数据的噪声分布规则,并反映了经验模态分解的特征。与多项式滤波器相比,新算法保持了数据信息的完整性,有效降低了噪声的影响,提高了数据信息的可靠性,并得到了数据趋势。通过仿真结果,证明了该新概念的有效性和适用性。

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