Time-Varying Spectrum Estimation of Uniformly Modulated Processes by Means of Surrogate Data and Empirical Mode Decomposition

Abstract : We propose a new estimate of the time-varying spectra of uniformly modulated processes. The estimate is based on a resampling scheme which incorporates empirical mode decompositions and surrogate data techniques. The performance of the method is studied via simulations.
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Contributor : Pierre Borgnat <>
Submitted on : Friday, April 23, 2010 - 2:18:05 PM
Last modification on : Thursday, April 19, 2018 - 2:54:03 PM
Long-term archiving on : Tuesday, September 28, 2010 - 1:22:12 PM

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Azadeh Moghtaderi, Patrick Flandrin, Pierre Borgnat. Time-Varying Spectrum Estimation of Uniformly Modulated Processes by Means of Surrogate Data and Empirical Mode Decomposition. IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-10, Mar 2010, Dallas, Texas, United States. ⟨ensl-00476007⟩

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