作者
Kun Yu, Tian Ran Lin, Hui Ma, Hongfei Li, Jin Zeng
发表日期
2020/4
期刊
IEEE Transactions on Instrumentation and Measurement
卷号
69
期号
4
页码范围
1505-1518
出版商
IEEE
简介
Time-frequency analysis (TFA) technique is an effective approach to capture the changing dynamic in a nonstationary signal. However, the commonly adopted TFA techniques are inadequate in dealing with signals having a strong nonstationary characteristic or multicomponent signals having close frequency components. To overcome this shortcoming, a new TFA technique applying a polynomial chirplet transform (PCT) in association with a synchroextracting transform (SET) is proposed in this paper. It is shown that the energy concentration of the time-frequency representation (TFR) of a strong frequency-modulated signal from a PCT transform can be further enhanced by an SET transform. The technique can also be employed to accurately extract the signal components of a multicomponent nonstationary signal with close frequency components by adopting an iterative process. It is found that the TFR calculated …
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K Yu, TR Lin, H Ma, H Li, J Zeng - IEEE Transactions on Instrumentation and …, 2019