wavelets
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aaren
Python implementation of the wavelet analysis found in Torrence and Compo (1998)
@aaren hasn't done anything on Github since 2017? There are a billion forks implementing the same `factorial` changes:  @joschaschmiedt has accepted a PR from another user. Are you the...
my program is as follows: ``` x, _ = librosa.core.load(dataset_path + "test.wav", sr=16000, mono=True) x = x[26000:40000] wa = WaveletAnalysis(sig, dt=0.1) print(wa.reconstruction().shape) ``` An error occurred during runtime: ``` File...
The alias scipy.misc.factorial is deprecated sicne scipy 1.0. Instead, scipy.special.factorial should be used.
Deprication of scipy.misc.factorial solved (in newer scipy versions factorial has been moved from misc to special), added plotting options
The factorial function has been moved from scipy.misc to scipy.special in version 1.3.1
Hi Aaren, I am trying to compare your code with `PyWavelet`. My main objective is adding cone of influence visualisation for CWT in PyWavelet. I am using your bias example...
That allows, for instance, reconstruction to be used with an altered wavelet_transform. Example usage: def get_wt_nmfd(wav_path, wav_prefix, plot_prefix): fs, x = wavfile.read(wav_path) dt = 1.0/fs dj = 1.0/16.0 eps =...
Hi, Thank you so much for creating such a nice wavelet package! Did you happen to have a problem with wavelet power calculation for large time series data? it seems...
Example code: ``` python from wavelets import WaveletAnalysis wa = WaveletAnalysis() # hard coded Morlet value print wa.C_d print wa.wavelet.C_d # override hard coding wa.wavelet.C_d = None # Now C_d...
