Abstract In this paper, our goal is to compare different recent time-frequency (TF) approaches to retrieve the modes of multicomponent signals (MCSs). While it is acknowledged that the synchrosqueezing transform (SST) improves the readability of the time-frequency representation (TFR) of the modes of MCSs, and that SST-based demodulation (DSST) is more efficient than SST itself for mode retrieval (MR), it is unclear whether DSST outperforms downsampled short-time Fourier transform (STFT) in that matter. The goal of the present paper is to answer this question and to propose a variant of DSST that reduces mode-mixing. The focus is put on the sensitivity of the different techniques to frequency modulation for the modes and frequency resolution.

中文翻译：

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使用短时傅立叶变换和基于同步压缩的解调来检索多分量信号的模式

摘要 在本文中，我们的目标是比较最近不同的时频 (TF) 方法来检索多分量信号 (MCS) 的模式。众所周知，同步压缩变换 (SST) 提高了 MCS 模式的时频表示 (TFR) 的可读性，并且基于 SST 的解调 (DSST) 在模式检索 (MR) 方面比 SST 本身更有效，目前尚不清楚 DSST 在这方面是否优于下采样短时傅立叶变换 (STFT)。本文的目标是回答这个问题并提出一种减少模式混合的 DSST 变体。重点放在不同技术对模式和频率分辨率的频率调制的敏感性上。