A De-Noising Method for Track State Detection Signal Based on the Statistical Characteristic of Noise
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50741#.VEm91VfHRK0 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 Based on the statistical characteristics analysis of random noise power and autocorrelation function, this paper proposes a de-noising method for track state detection signal by using Empirical Mode Decomposition (EMD). This method is used to noise reduction refactoring for the first Intrinsic Mode Function (IMF) component in accordance with the “random sort-accumulation-average-refactoring" order. Signal autocorrela...