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

Azadeh Moghtaderi 1 Patrick Flandrin 1 Pierre Borgnat 1
1 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
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.
Keywords : Bandlimited signals Spectral analysis Stochastic processes Time-frequency analysis
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Conference papers
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Submitted on : Friday, April 23, 2010 - 2:18:05 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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