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Communication Dans Un Congrès Année : 2023

Polarized signal singular spectrum analysis with complex SSA

Résumé

This paper considers the analysis of bivariate signals using complex Singular Spectrum Analysis (SSA). It introduces a pseudo-correlation based criterion in the grouping step of complex SSA. The advantage of using pseudo-correlation rather than correlation measures when analyzing polarized signals with complex SSA is demonstrated theoretically. This criterion is shown to be effective to extract bivariate signals modeled as particular complex Linear Recurrence Relations (LRR) of order 2. These elementary complex bricks offer a high interpretability in terms of polarization. Illustration of the proposed grouping technique is made through polarized component extraction on a real-world data example.
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Dates et versions

hal-04104834 , version 1 (18-06-2023)

Identifiants

Citer

Sébastien Journé, Nicolas Le Bihan, Florent Chatelain, Julien Flamant. Polarized signal singular spectrum analysis with complex SSA. ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10095954⟩. ⟨hal-04104834⟩
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