A Novel Time-Frequency Technique for Mode Retrieval Based on Linear Chirp Approximation

Nils Laurent (1) , Sylvain Meignen (1)

1 DAO - Données, Apprentissage et Optimisation

In this paper, we introduce a novel time-frequency technique for the retrieval of the modes of multicomponent signals based on linear chirp approximation. The key idea to this new technique is to design the retrieval procedure by using only information extracted in the vicinity of the ridges made by the components in the time-frequency plane. Compared with state-of-the-art methods based on timefrequency representations, the proposed approach will prove to improve the reconstruction results when applied to a monocomponent signal and to circumvent the mode-mixing issue when the modes of a multicomponent signal are close in the time-frequency plane.

Mots clés: Time-frequency; AM/FM multicomponent signal; mode retrieval; linear chirp approximation

Domaines: Traitement du signal et de l'image [eess.SP]

Nils Laurent, Sylvain Meignen. A Novel Time-Frequency Technique for Mode Retrieval Based on Linear Chirp Approximation. IEEE Signal Processing Letters, 2020, 27, pp.935 - 939. ⟨10.1109/LSP.2020.2996905⟩. ⟨hal-03238465⟩