DocumentCode :
3032601
Title :
New concept of getting data trend based on EMD and application
Author :
Zhao, Gang ; Li, Yanjun ; Guo, Xiaohong ; Zhu, Kaijian
Author_Institution :
Northwestern Polytech. Univ., Xi´´an, China
fYear :
2010
fDate :
8-10 June 2010
Firstpage :
237
Lastpage :
242
Abstract :
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.
Keywords :
decomposition; filtering theory; integral equations; polynomials; reliability; EMD; data information; data trend; empirical mode decomposition; integrality; noise distributing rule; polynomial filter; real measurement data; reliability; Band pass filters; Information filters; Noise; Satellites; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6043-4
Electronic_ISBN :
978-1-4244-7505-6
Type :
conf
DOI :
10.1109/ISSCAA.2010.5632560
Filename :
5632560
Link To Document :
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