For preparation of my research, I want to investigate one of feature extraction method which use by Amezquita et. al. (2018) Article A Novel Wavelet Transform-Homogeneity Model for Sudden Cardi...
.They use Daubechies 44 as feature extraction method. But unfortunately when I research out with python, there is no Daubechies 44 implementation for pywt library in python WPT. They only have db20 as the last motherwavelet function in their Daubechies group. Is anyone can give suggestion to do the transformation in Python?
I suggest you to read this document for inspiration what created for our problems.
Site web:
http://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/
I hope that be helpful. @Yosafat Vincent Saragih
I suggest you follow :: https://pywavelets.readthedocs.io/en/latest/
http://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/
https://pywavelets.readthedocs.io/_/downloads/en/v0.5.1/pdf/
To my knowledge, a Daubechies 44 is not a common choice of wavelet parameterization. The number of vanishing moments sounds indeed very high and requires a careful use when applied to discrete data. This may explain why you have some difficulties to find a proper library.
I suggest you to read this document for inspiration what created for our problems.
Site web:
http://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/
I hope that be helpful. @Yosafat Vincent Saragih
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