Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50365#.VDsy2lfHRK0 Author(s) Liming Li , Xiaodong Chai , Shubin Zheng , Wenfa Zhu Affiliation(s) College of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai, China . ABSTRACT In the track irregularity detection, the acceleration signals of the inertial measurement unit (IMU) output which with low frequency components and noise, this paper studied a de-noising algorithm. Based on the criterion of consecutive mean square error, a de-noising method for IMU acceleration signals based on empirical mode decomposition (EMD) was proposed. This method can divide the intrinsic mode functions (IMFs) derived from EMD into signal dominant m...
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