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A Novel Time-Frequency Technique for Mode Retrieval Based on Linear Chirp Approximation
IEEE Signal Processing Letters ( IF 3.2 ) Pub Date : 2020-01-01 , DOI: 10.1109/lsp.2020.2996905
Nils Laurent , Sylvain Meignen

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 time-frequency 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.

中文翻译:

一种基于线性 Chirp 逼近的模式检索时频新技术

在本文中,我们介绍了一种新的时频技术,用于基于线性啁啾近似来检索多分量信号的模式。这种新技术的关键思想是通过仅使用在时间-频率平面中的组件构成的脊附近提取的信息来设计检索程序。与基于时频表示的最新方法相比,所提出的方法将证明在应用于单分量信号时可以改善重建结果,并在多分量信号的模式接近时规避模式混合问题在时频平面上。
更新日期:2020-01-01
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