Local maximum multi-synchrosqueezing transform for the analysis of time-varying signals

Abstract Synchrosqueezing transform (SST) and its improved algorithm are used to process time-varying signals and have been widely developed in the field of signal processing recently. However, processing strong time-varying signals is still a tricky problem. Multisynchrosqueezing transform (MSST) i...

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Published inJournal of physics. Conference series Vol. 2483; no. 1; pp. 12025 - 12030
Main Authors Wei, Dahuan, Huang, Kangguang, Huang, Huang, Wang, Bo, Ao, Jingzhu, Deng, Liujie, Peng, Jiansheng
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.05.2023
Subjects
Algorithms
Frequency analysis
Physics
Signal processing
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Summary:Abstract Synchrosqueezing transform (SST) and its improved algorithm are used to process time-varying signals and have been widely developed in the field of signal processing recently. However, processing strong time-varying signals is still a tricky problem. Multisynchrosqueezing transform (MSST) is an excellent time-frequency (TF) analysis technique for processing strong time-varying signals. However, some TF points will not be rearranged using this method. So we propose a new algorithm named local maximum multi-synchrosqueezing transform. The method detects the local maximum of MSST to address the problem existing in MSST. In this way, a near-perfect TF analysis method used to analyze time-varying signals is generated. Simulated signal and experimental data demonstrate the effectiveness of our method.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2483/1/012025