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An Approach of Signal Analysis Based on High-Order Spline Interpolation
Abstract:
Empirical mode decomposition (EMD) provides a powerful tool for the nonlinear and nonstationary signals. This paper presents an application of the signature analysis based on high-order spline interpolation. The time-frequency analysis method based on EMD is introduced. The series data are separated into intrinsic mode functions (IMFs) with different time scale using EMD. The spectrum of Hilbert transformation is obtained by applying Hilbert transformation to every IMF. Based on cubic spline interpolation, high-order spline interpolation is used to improve the precision of the algorithm. Furthermore some strategies for improving the computational efficiency are proposed. The simulation result shows that the precision of the time-frequency analysis can be improved effectively using the proposed new algorithm.
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226-230
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Online since:
April 2012
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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