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Scaling-Basis Chirplet Transform

version 1.0.1 (3.26 KB) by miaofen li
Time-frequency method with high time-frequency resolution for processing non-stationary vibration signal collected from rotational machinery


Updated 10 Aug 2020

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This method belongs to chirplet transform. It includes a replacement kernel function that can vary the chirp rate with frequency and time by scaling the TF basis at and around the corresponding time center. This enables the corresponding chirplets to accurately match the targeted slopes for every trajectory of a multi-component signal and within any window length. It exibits a good performance on multi-component signals with close-spaced frequencies and high levels of background noise.

Cite As

miaofen li (2021). Scaling-Basis Chirplet Transform (, MATLAB Central File Exchange. Retrieved .

M. Li, T. Wang, F. Chu, Q. Han, Z. Qin and M. Zuo, "Scaling-Basis Chirplet Transform," in IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.3013537.

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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