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Article
Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform
Analysis and Applications (2021)
  • Haiyan Cai, University of Missouri–St. Louis
  • Qingtang Jiang, University of Missouri-St. Louis
  • Lin Li, University of Missouri -St. Louis
  • Bruce W Suter, The Air Force Research Laboratory, AFRL/RITB, Rome, NY 13441, USA
Abstract
Recently the study of modeling a non-stationary signal as a superposition of amplitude and frequency-modulated Fourier-like oscillatory modes has been a very active research area. The synchrosqueezing transform (SST) is a powerful method for instantaneous frequency estimation and component separation of non-stationary multicomponent signals. The short-time Fourier transform-based SST (FSST for short) reassigns the frequency variable to sharpen the time-frequency representation and to separate the components of a multicomponent non-stationary signal. Very recently the FSST with a time-varying parameter, called the adaptive FSST, was introduced. The simulation experiments show that the adaptive FSST is very promising in instantaneous frequency estimation of the component of a multicomponent signal, and in accurate component recovery. However the theoretical analysis of the adaptive FSST has not been carried out. In this paper, we study the theoretical analysis of the adaptive FSST and obtain the error bounds for the instantaneous frequency estimation and component recovery with the adaptive FSST and the 2nd-order adaptive FSST.
Keywords
  • Adaptive short-time Fourier transform; adaptive synchrosqueezing transform; instantaneous frequency estimation; multicomponent signal separation
Publication Date
2021
DOI
https://doi.org/10.1142/S0219530520400047
Citation Information
Haiyan Cai, Qingtang Jiang, Lin Li and Bruce W Suter. "Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform" Analysis and Applications Vol. 19 (2021) p. 71 - 105
Available at: http://works.bepress.com/qingtang-jiang/77/