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

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

Domains: Computer Science [cs]; Signal and Image Processing; Engineering Sciences [physics]; Signal and Image processing

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⟩