NDLI: The Application of Wavelet-Kalman Hybrid Filter in EMD Edge Problem

Content Provider	IEEE Xplore Digital Library
Author	Cheng-lin Wen Feng Zeng Su-jun Zhang
Copyright Year	2006
Description	Author affiliation: Sch. of Autom., Hangzhou Dianzi Univ. (Cheng-lin Wen)
Abstract	Empirical mode decomposition is one of effective new methods to process signals disturbed by noise, which has been attracted extensively attention and applied successfully in many engineering fields. Usually, cubic spline interpolation operation is used to fit the upper and lower envelopes of given signals in the traditional EMD approach. However, the ill behavior often appears on the edges of the signals, which influences the quality of signal processing. Aiming at the above case, by use of the random walk property of a time series composed by the wavelet coefficients of lots of periodic signals, the paper applies the hybrid filter which consists of wavelet transform and Kalman filter to extending two edges of signal by forwards forecasting or backwards smoothing, and create these new upper and lower envelopes to overcome shortcoming arose from foregone methods. Computer simulation validates the effectiveness of the new technique presented in the letter
Starting Page	745
Ending Page	748
File Size	209891
Page Count	4
File Format	PDF
ISBN	0769525288
DOI	10.1109/ISDA.2006.253705
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Wavelet domain Empirical mode decomposition Kalman filter wavelet transform Wavelet analysis edge effect Spline Physics Signal resolution Frequency domain analysis Interpolation Filters Signal processing
Content Type	Text
Resource Type	Article

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