Newton Time-Reassigned Multi-Synchrosqueezing Wavelet Transform

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-09-06 DOI:10.1109/LSP.2024.3455990
Wenting Li;Zhuosheng Zhang;Rui Zhang
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Abstract

In this letter, we introduce an accurate group delay estimator and two high-resolution time-frequency analysis methods to characterize fast frequency-varying signals. Firstly, we explore the limitations of time-reassigned synchrosqueezing wavelet transform and its multi-synchrosqueezing case in dealing with fast frequency-varying signals. Secondly, we present Newton group delay estimator based on wavelet transform properties and Newton's method. Based on this, we introduce the Newton time-reassigned synchrosqueezing wavelet transform, which improves the readability of the time-frequency representation, by reassigning the wavelet transform coefficients into the group delay trajectories along the time direction, and further derive its reconstruction formula. Moreover, we propose Newton time-reassigned multi-synchrosqueezing wavelet transform by multiple squeezing operations, which can achieve a more concentrated time-frequency representation and accurate signal reconstruction. Finally, we employ synthetic and real signals to verify the effectiveness of the proposed methods on the time-frequency energy concentration, group delay estimation and signal reconstruction.
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牛顿时间重新分配多同步阙值小波变换
在这封信中,我们介绍了一种精确的群延迟估计器和两种高分辨率时频分析方法,以描述快速频变信号的特征。首先,我们探讨了时间重新分配同步小波变换及其多同步小波变换在处理快速频变信号时的局限性。其次,我们提出了基于小波变换特性和牛顿方法的牛顿群延迟估计器。在此基础上,我们引入了牛顿时间重分配同步小波变换,通过将小波变换系数沿时间方向重分配到群延迟轨迹中,提高了时频表示的可读性,并进一步推导出其重构公式。此外,我们还提出了牛顿时间重新分配多同步挤压小波变换,通过多次挤压操作,实现更集中的时频表示和精确的信号重构。最后,我们利用合成信号和真实信号验证了所提方法在时频能量集中、群延迟估计和信号重构方面的有效性。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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