Gregory Lee

I also recently saw this package for (FFT-based) continuous wavelet analysis. https://github.com/regeirk/pycwt I haven't looked into it in any detail to see what level of overlap there is between the...

Our CWT contributor has not been active here lately. In an older issue (#315), @nabobalis also had interest in merging functionality from PyCWT but does not seem to have pursued...

I think you are saying that the coordinates should be different for the wavelet by an integer shift? As a concrete example, for 'db2' the current `xs` is in the...

> I am using wavelets outside the context of filtering, as general approximation functions, and that information is critical for any algorithm working with them. Great. If you have any...

Thanks @ChrisMyers. To clarify, you were previously calling `np.asarray(coeffs)` where `coeffs` is the output of `pywt.swt`? I am not sure we intended to support that case, and did not have...

I am thinking the following autodetection would also work for your case and can replace the current check in the code: ```Python trim_approx = np.isscalar(tuple(coeffs[0])[0]) ``` In the case trim_approx...

Thanks, I am fine with exposing this parameter. I will take a look at the info you found soon and review it a little closer.

Hi @kaz0120, unfortunately the original CWT contributor to PyWavelets is no longer active with the project and I am more familiar with the discrete transforms. In general it is mostly...

I think the new `norm` argument to `swt` makes this doable for the undecimated case now. See the [new demo that was added](https://github.com/PyWavelets/pywt/blob/20ab3c1ded9b457c2cb54cb7bbac65479d5c4a00/demo/swt_variance.py).

I think as of the 1.1 release of PyWavelets last year, you can do this kind of analysis with the existing `swt` functions when you set `norm=True`. Does the following...