Time‐frequency synchroextracting transform. Issue 2 (9th November 2021)

• Record Type: Journal Article
• Authors: Zhang, Ran; Liu, Xingxing; Zheng, Yongjun; Lv, Haotun; Li, Baosheng; Yang, Shenghui; Tan, Yu
• Is Part Of: IET signal processing. Volume 16:Issue 2(2022)
• Page Start: 117
• Page End: 131
• Publication Date: 2021-11-09
• Subjects: synchroextracting transform -- synchrosqueezing transform -- time‐frequency analysis; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/sil2.12073
• Languages: English
• ISSNs: 1751-9675

Abstract

Abstract: The study proposes a novel time‐frequency analysis technique, titled time‐frequency synchroextracting transform which enhances the accuracy of synchroextracting transform. The synchroextracting transform is a powerful postprocessing method that sharpens the energy distribution of spectrogram. However, its limitation is the sole use of time or frequency factors that cannot accurately portray signals containing both 'slow‐varying' and 'fast‐changing' components. The proposed method applies the synchroextracting procedure in both time and frequency dimensions to improve the energy concentration. A fast Fourier transform‐‐based algorithm is also provided for efficient implementation. The proposed method is validated via numerical and empirical data. Compared with advanced methods including synchrosqueezing transform and synchroextracting transform, the proposed method is suitable to analyse wider range of signals and has better noise robustness than the original synchroextracting transform.