Adaptive synchrosqueezing transform based instantaneous frequency rate estimation

Yuan Gao; Yibin Rui; Jinying Gao; Yuhang Li

doi:10.1117/12.2581384

20 January 2021 Adaptive synchrosqueezing transform based instantaneous frequency rate estimation

Yuan Gao, Yibin Rui, Jinying Gao, Yuhang Li

Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 117190O (2021) https://doi.org/10.1117/12.2581384
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China

Abstract

The synchrosqueezing transform(SST), a kind of reassignment method, aims to sharpen the time-frequency representation. In this paper, we consider synchrosqueezing transform based short-time fourier transform with instantaneous frequency rate of change to analyze nonlinear and nonstationary signal, called the adaptive synchrosqueezing transform (ASST). Compared with SST, the window width of ASST is adaptively adjusted with the instantaneous frequency rate estimation which is extracted at the signal ridge. The proposed method can generate a more energy concentrated TF representation for the non-stationary signals with fast-varying frequencies. Simulation results are provided to demonstrate the effectiveness of the proposed method.

Citation Download Citation

Yuan Gao, Yibin Rui, Jinying Gao, and Yuhang Li "Adaptive synchrosqueezing transform based instantaneous frequency rate estimation", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 117190O (20 January 2021); https://doi.org/10.1117/12.2581384

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