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PyWavelets
PyWavelets - Wavelet Transforms in Python
Originally requested on https://github.com/nigma/pywt/issues/8 by @fairymane : Hi, I am trying to implement some wavelet analysis in Python for some R code wrote previously. One function used in earlier R...
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**) to SciPy? WSST has recently been implemented in...
This PR adds a feature to estimate the noise variance of a signal. This is useful in many thresholding algorithms such as 'VisuShrink' and 'RiskShrink'. Below is an example using...
A user on the mailing list was asking how to make a copy of the coefficients returned by `fswavedec`. It seems reasonable to add a `copy` method to the `FswavedecnResult`...
On a related note to the mailmap PR (#485), we could potentially also add a `.zenodo.json` so that Zenodo will get author names and affiliations right. I have seen some...
Are there any plans to include automatic generation for Cone Of Influence?
If we decide we want to have all of the Matlab wavelets available, here is the list available in Matlab r2015b: ``` >>> waveletfamilies('n') =================================== Haar haar =================================== Daubechies db...
Mathematica has a range of methods to determine the wavelet thresholding parameter. In pywt, it is the parameter `value` of the `pywt.threshold` function. The list of automated methods to determine...
Do not merge this PR. It is just a demo of generating more accurate FIR approximations for the Meyer wavelet (see #261). We can choose one of these to replace...
62 coefficients is not enough for accurate roundtripping (Matlab uses 102 coeffs), see https://groups.google.com/forum/#!topic/pywavelets/W3jFXbTNwrk for details