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pywsst

Wavelet Synchrosqueezed Transform (wsst) in Python (Work In Progress)

If you use this code in your research, please include the citations to the papers below.

References

  1. Mallat, S., Wavelet Tour of Signal Processing 3rd ed.

  2. I. Daubechies, J. Lu, H.T. Wu, "Synchrosqueezed Wavelet Transforms: an empricial mode decomposition-like tool", Applied and Computational Harmonic Analysis, 30(2):243-261, 2011.

  3. G. Thakur, E. Brevdo, N.-S. Fučkar, and H.-T. Wu, "The Synchrosqueezing algorithm for time-varying spectral analysis: robustness properties and new paleoclimate applications", Signal Processing, 93:1079-1094, 2013.

  4. G. Thakur and H.-T. Wu, "Synchrosqueezing-based Recovery of Instantaneous Frequency from Nonuniform Samples", SIAM Journal on Mathematical Analysis, 43(5):2078-2095, 2011.