articleIEEE Transactions on Industrial ElectronicsApr 24, 2017Closed access

Synchroextracting Transform

GYGang YuMYMingjin YuCXChuanyan Xu

University of Jinan · Shandong Jiaotong University

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Abstract

In this paper, we introduce a new time-frequency (TF) analysis (TFA) method to study the trend and instantaneous frequency (IF) of nonlinear and nonstationary data. Our proposed method is termed the synchroextracting transform (SET), which belongs to a postprocessing procedure of the short-time Fourier transform (STFT). Compared with classical TFA methods, the proposed method can generate a more energy concentrated TF representation and allow for signal reconstruction. The proposed SET method is inspired by the recently proposed synchrosqueezing transform (SST) and the theory of the ideal TFA. To analyze a signal, it is important to obtain the time-varying information, such as the IF and instantaneous…

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650
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21.83
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100%
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3

Topics & keywords

Topics
Keywords
  • Short-time Fourier transform
  • Time–frequency analysis
  • Instantaneous phase
  • Fourier transform
  • Energy (signal processing)
  • Computer science
  • SIGNAL (programming language)
  • Algorithm
UN Sustainable Development Goals
  • Affordable and clean energy
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