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Article Dans Une Revue IEEE Signal Processing Letters Année : 2020

Spectral Estimation for Multivariate Locally Time-Warped Signals

Adrien Meynard

Résumé

Spectral estimation generally aims at determining from a single realization of a given signal, the distribution of its power as a function of frequency. In this paper, we focus on multivariate, locally time-warped signals. We show that the spectral estimation problem can also be interpreted as a doubly nonstationary blind source separation (BSS) problem, where both the mixing matrix and the original sources contribute to nonstationarity. We then introduce a BSS algorithm for joint spectral estimation of nonstationary sources. The performance of the proposed approach is evaluated on numerical simulations, and compared with other nonstationary BSS algorithms.
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Dates et versions

hal-02455218 , version 1 (25-01-2020)

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Adrien Meynard. Spectral Estimation for Multivariate Locally Time-Warped Signals. IEEE Signal Processing Letters, 2020, 27, pp.311 - 315. ⟨10.1109/LSP.2020.2970344⟩. ⟨hal-02455218⟩
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