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To implement the Wavelet Synchrosqueezing Transform with a specific wavelet, one needs to take the CWT with the derivative of that wavelet. One can do that with Paul and Dog wavelets as it is already …
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Most STFT implementations, including this one, [do not](https://dsp.stackexchange.com/a/72590/50076) compute STFT per [standard formulation](https://en.wikipedia.org/wiki/STFT#/Discrete-time_STFT). So…
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Thread for tracking ideas in need of explaining, and found explanations.
1 checkmark = explanation found; 2 = documented
Status
Description
Findings / Resource…
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Thread for various implementation or theoretical notes / ideas.
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Thread for sharing/discussing applications on real-world data. Feel free to open a separate Issue if needed.
Comments occasionally cleared to keep focus on examples.
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Shameless feature request, this transform is natural upgrade from CWT so it should be relatively easy to add.
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Original feature request by @gabsee at https://github.com/scipy/scipy/issues/6888:
Is anyone savvy enough to add the new **Wavelet Synchrosqueezed Transform (wsst)** (including inverse **iwsst**) t…
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Since your synchrosqueezing wavelet transform algorithm takes discrete time sequences as input, why is it called the Continuous Wavelet Tranform and not the Discrete Time Wavelet Transform?
Could y…
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You may be aware that there has been recent research effort to combine synchrosqueezing with Empirical mode decomposition.
However, EMD has some shortcomings and it would seem there is a 21st century…
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Amazing package! Many thanks!
As a side note: the SE explanation that this uses a prior to improve on the traditional time / frequency uncertainty principle is really what meant most to me; I am us…