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- W4317490030 endingPage "108940" @default.
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- W4317490030 abstract "The synchrosqueezing transform (SST) is an effective method to obtain a clear time-frequency representation (TFR). Unfortunately, it suffers from low time-frequency (TF) resolution faced with strongly frequency-modulated signals, such as chirp signals. In this paper, we propose the generalized synchrosqueezing fractional S-transform (GSSFrST) to address this deficiency. In addition, we have also considered its second-order version to further enhance the TFR. They combine the advantages of fractional Fourier transform and synchrosqueezing generalized S-transform to improve the TF concentration. To further improve the TF resolution, we propose the multi-spectra synchrosqueezing transform (MSST) based on the GSSFrST and Hough transform. Inspired by the idea of image fusion, the MSST uses multiple TF spectra to fuse into a novel TF spectrum to represent each component of the signal in more detail. The experimental results show that MSST is a promising TF analysis tool for cross chirp signal separation and instantaneous frequency estimation." @default.
- W4317490030 created "2023-01-20" @default.
- W4317490030 creator A5030059688 @default.
- W4317490030 creator A5067794103 @default.
- W4317490030 date "2023-06-01" @default.
- W4317490030 modified "2023-09-27" @default.
- W4317490030 title "Multi-spectra synchrosqueezing transform" @default.
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- W4317490030 doi "https://doi.org/10.1016/j.sigpro.2023.108940" @default.
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