Time-frequency-multisqueezing Transform

Version 1.0.2 (4.35 KB) by YuGang
业务范围包括但不限于,生物/地震/机械/振动/声音/语音等多种领域中的信号处理问题。(最新文章源码以及c或者python版本,可联系, 手机号:15064155055 微信号:yg694722435 邮箱:yugang2010@163.com
Updated 3 Feb 2024

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A time-frequency direction squeezing transform for sparse representation
In the real world, most signals encountered are nonstationary. It is essential to extract a time-frequency (TF) characteristics in such signals for an accurate description. Two parameters are usually applied to quantify the TF characteristics of a nonstationary signal, i.e., instantaneous frequency (IF) and group delay (GD). A post-processing strategy was adopted by two recently developed techniques, the synchrosqueezing transform (SST) and the time-reassigned SST (TSST) to accurately capture the change rules of IF and GD respectively. However, due to the diversity of modes in complex nonstationary signals, no existing technique has been used to effectively estimate both IF and GD simultaneously. To solve this problem, a post-processing analysis technique termed as time-frequency-multisqueezing transform (TFMST) is proposed in this paper where a so-called chirp rate (CR) discrimination criterion is established by considering the Gaussian window in the short-time Fourier transform. The proposed method can accurately categorize nonstationary signals containing harmonic- and impulsive-like components to achieve a concurrent description and ensure the recovery of original signals. The proposed method is validated by numerical simulation and real signal analyses.
The paper has been acceptted by IEEE TIE.

Cite As

YuGang (2024). Time-frequency-multisqueezing Transform (https://www.mathworks.com/matlabcentral/fileexchange/129699-time-frequency-multisqueezing-transform), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
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