Analysis of Adaptive Short-time Fourier Transform-based Synchrosqueezing Transform
For researchers working on non-stationary signal processing, this work fills a theoretical gap by providing rigorous error bounds for a promising adaptive method.
This paper provides the first theoretical analysis of the adaptive short-time Fourier transform-based synchrosqueezing transform (FSST), deriving error bounds for instantaneous frequency estimation and component recovery using the adaptive FSST and its second-order variant.
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.