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