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inaaren/wavelets (press backspace or delete to remove)

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) ...
  • ZhaoKe1024
  • 2
  • Opened 
    on Dec 28, 2023
  • #26

I found this project today. I tried to run test_wavelets.py at first. But it didn t work because I couldn t find function named WaveletAnalysis. If you know the solution, please teach me that. If I find ...
  • AobaIwaki123
  • Opened 
    on Jul 2, 2021
  • #24

@aaren hasn t done anything on Github since 2017? There are a billion forks implementing the same factorial changes: image @joschaschmiedt has accepted a PR from another user. Are you the de facto canonical ...
  • endolith
  • 4
  • Opened 
    on Jul 25, 2020
  • #22

The factorial function has been moved from scipy.misc to scipy.special in version 1.3.1
  • ctheissen
  • 1
  • Opened 
    on Sep 23, 2019
  • #21

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 with three frequencies. I am using ...
  • robertsawko
  • Opened 
    on Jul 27, 2019
  • #20

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 there is a memory leakage problem. Thanks! ...
  • elmiramb
  • 1
  • Opened 
    on Apr 24, 2017
  • #17

Hi Aaren, first of all thanks a lot for this awesome clean implementation, it s a pleasure to use! I realized yesterday that somehow my power values where off quite a lot (using unbias=True), which I ...
  • JanJamaszyk
  • Opened 
    on Feb 23, 2017
  • #15

Hi, I am currently looking/ comparing different wavelet packages have to say yours is a very nice package. however there may be an issue in the correct calculation of the scaling. In the standard Torrence/Compo ...
  • darmok47
  • Opened 
    on Oct 27, 2016
  • #14

when i use global_wavelet_spectrum, how to plot the significance testing line?
  • lovechang1986
  • 3
  • Opened 
    on Feb 28, 2016
  • #8

Allow this behaviour: wt.fourier_periods = array_of_periods The scales of a transform can currently be set by wt = WaveletTransform(data) wt.scales = array_of_scales The equivalent fourier period is ...
  • aaren
  • Opened 
    on Feb 17, 2015
  • #5
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