Non-Stationary Signal Analysis Based on Hilbert-Huang Transform and Median Filter

Xiao Li Wang; Dian Hong Wang

doi:10.4028/www.scientific.net/AMR.1049-1050.1694

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050Non-Stationary Signal Analysis Based on...

Non-Stationary Signal Analysis Based on Hilbert-Huang Transform and Median Filter

Abstract:

The Hilbert-Huang Transform (HHT) is a new time-frequency analysis with adaptability and orthogonality, but it is rather weak in terms of noise resistance, even low noise can disturb the HHT result greatly. The paper launches an investigation on how noises affect the HHT result and proposes the method to solve the problem. The analytic framework for HHT is first introduced, the feature of the test signal is extracted by HHT. Median filter is adopted to reduce the frequency leakage of certain signal component caused by white noise. The method proposed is experimentally simulated and the results demonstrate its effectiveness.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1694-1697

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1694

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Online since:

October 2014

Authors:

Xiao Li Wang, Dian Hong Wang

Keywords:

Empirical Mode Decomposition (EMD), Hilbert-Huang Transform, Median Filter, Time-Frequency Analysis

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References

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