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A Novel Ridge Detector for Nonstationary Multicomponent Signals: Development and Application to Robust Mode Retrieval
IEEE Transactions on Signal Processing ( IF 5.4 ) Pub Date : 2021-05-31 , DOI: 10.1109/tsp.2021.3085113
Nils Laurent , Sylvain Meignen

Time-frequency analysis is often used to study non stationary multicomponent signals, which can be viewed as the surperposition of modes. To understand such signals, it is essential to identify the ridges associated with the modes in the time-frequency plane. As existing ridge detectors are often not enough robust to noise, we here develop a novel approach to ridge detection based on the gathering of ridge portions in the time-frequency plane, which we coin RRP-RD. Such a technique is proved to be much more robust to noise than state-of-the-art methods based on the same framework, and we also demonstrate its benefits for mode retrieval.

中文翻译:

用于非平稳多分量信号的新型脊检测器:鲁棒模式检索的开发和应用

时频分析常用于研究非平稳多分量信号,可将其视为模态叠加。要了解此类信号,必须识别与时频平面中的模式相关的脊。由于现有的脊检测器通常对噪声不够稳健,我们在这里开发了一种基于时频平面中脊部分的聚集的脊检测新方法,我们将其称为 RRP-RD。事实证明,这种技术比基于相同框架的最先进方法对噪声具有更强的鲁棒性,我们还展示了它对模式检索的好处。
更新日期:2021-06-15
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