Application of EMD to Integrated Signal Trend Extraction

Abstract:

Huang’s data-driven technique of Empirical Mode Decomposition (EMD) is presented, and issues related to its effective implementation are discussed. Integrating signal directly will produce a trend, it will cause distortion and interfere with the calculation results. This paper discusses the reasons that cause the integrated signal trend, compares the different methods for extracting trend. The traditional steps use the linear fitting and a high-pass filter to remove low frequency signal to extract trend. This paper uses Empirical Mode Decomposition (EMD) method to extract integrated signals trend, discussed the advantages of Empirical Mode Decomposition (EMD) method in this case, proves that Empirical Mode Decomposition (EMD) has a good application in integrated signal trend extraction.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2072-2076
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2072
• Online since: November 2012
• Authors: Ye Qu Chen, Wen Zheng, Xie Ben Wei
• Keywords: Acceleration Signal, Displacement Signal, Empirical Mode Decomposition (EMD), Signal Integration, Trend Extraction, Velocity Signal

References

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DOI: 10.1098/rspa.1998.0193

[3] ADRIAN LINCOLN:Calculating Velocity Or Displacement From Acceleration Time Histories http://signalprocessing.prosig.com