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I'd like to use [generalized Morse wavelets](https://doi.org/10.1109/TSP.2012.2210890) for an analysis and am under the impression that it is not implemented in pywt.
These wavelets are defined by i…
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I am sharing a snippet of code showing how the wavelet transform function from clouddrift can be used with xarray dataarrays. It doesn't work directly because of the `np.moveaxis` function to start wi…
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Hi,
This is my code with Accz and Time are array of float:
cwt = ContinuousWaveletTransform(wavelet= morse.Morse())
CPEF=cwt.transform(data =Accz, fs =1000, timestamps =Time, freq_limits =[0,300]…
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Hi GhostiPy team!
I saw the note that you plan to upload example jupyter notebooks. Do you have a timeline for those? I am specifically interested in your python implementation of the Morse wavelet…
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**NOTE**: I'm no longer actively developing features for ssqueezepy. Requests can still be submitted, here if short, or as Issues if detailed. If I don't reply within a month, it's probably not happen…
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At the lower frequencies, we need more samples to get an accurate representation of the wavelet, but at higher frequencies, we need fewer. I need to figure out a better way of sampling the wavelets ra…
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To accommodate wavelets which do not have the basic fs/f conversion from frequency to scale it may be helpful to have a frequencyToScale(fs, f) method in the wavelet and for Scales to be generated wit…
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Thank you for open-sourcing this.
Looking at definition of analytic signals, I've noted the transform from real to analytic to be `s(t) -> s(t) + js^(t)`, i.e. the _real part is preserved_. For eve…
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Hi @fastlib @felixdollack @lschneiderbauer
I am a newbie in signal processing. Based on the article, the cwt and fcwt in the eeg experiments are using complex morlet wavelet with a sigma value of …
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Dear Eugene Brevdo and Gaurav Thakur,
First of all, thank you very much for your python library ssqueezepy. it is very useful and is the first library that really implements very well the icwt in p…