Adaptive Synchrosqueezing Transform based Instantaneous Frequency Rate Estimation

被引：1

作者：

Gao, Yuan ^{[1
]}

Rui, Yibin ^{[1
]}

Gao, Jinying ^{[1
]}

Li, Yuhang ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China

来源：

TWELFTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS | 2021年 / 11719卷

关键词：

synchrosqueezing transform; frequency rate of change; time-frequency analysis; SPECTRUM;

D O I：

10.1117/12.2581384

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：6

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