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.
miaofen li (2021). Scaling-Basis Chirplet Transform (https://www.mathworks.com/matlabcentral/fileexchange/78014-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.
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