论文标题
非组织多组分信号的新型山脊探测器：开发和应用到可靠模式检索
A Novel Ridge Detector for Nonstationary Multicomponent Signals: Development and Application to Robust Mode Retrieval
论文作者
论文摘要
时频分析通常用于研究非固定多组分信号，该信号可以看作是与TF平面中山脊相关的模式的表面。要了解此类信号，必须识别其组成模式。这通常是通过在时频平面上执行脊检测来完成的，然后进行模式检索。不幸的是，现有的脊检测器通常不足以稳健到噪声，因此阻碍了检索。因此，在存在噪声的情况下，基于对多组分信号的短期傅立叶变换的分析，我们开发了一种新颖的方法来检测和模式检索，这将被证明比基于同一时间频率表示的先进方法更强大。
Time-frequency analysis is often used to study non stationary multicomponent signals, which can be viewed as the surperimposition of modes, associated with ridges in the TF plane. To understand such signals, it is essential to identify their constituent modes. This is often done by performing ridge detection in the time-frequency plane which is then followed by mode retrieval. Unfortunately, existing ridge detectors are often not enough robust to noise therefore hampering mode retrieval. In this paper, we therefore develop a novel approach to ridge detection and mode retrieval based on the analysis of the short-time Fourier transform of multicomponent signals in the presence of noise, which will prove to be much more robust than state-of-the-art methods based on the same time-frequency representation.
