pywavelets

问题 I'm trying to do 2d wavelet filtering in python. I found out about PyWavelets and I have been messing around with it for awhile. I am trying to do the transformation for 4 levels. When I print it out it gives werid output and I'm not sure exactly what is going on. I've tried a few things but this is the latest as an example: test = pywt.dwt2(picture,'db1') Any help on preforming 2d wavelets on images with PyWavelets or just in general would be much appreciated. Thank you. Edit: The type of

问题 I'm trying to do 2d wavelet filtering in python. I found out about PyWavelets and I have been messing around with it for awhile. I am trying to do the transformation for 4 levels. When I print it out it gives werid output and I'm not sure exactly what is going on. I've tried a few things but this is the latest as an example: test = pywt.dwt2(picture,'db1') Any help on preforming 2d wavelets on images with PyWavelets or just in general would be much appreciated. Thank you. Edit: The type of

问题 I need to denoise a signal. I tried to denoise it with savgol_filter but it result in loosing singularities in the signal. In order to denoise and keep singularities i tried to use wavelet transform, wavelet thresholding and inverse wavelet transform but i didn't succeed. Does someone know how to use wavelet denoising ? here is a text file with signal datas import numpy as np from matplotlib import pyplot as plt from scipy.signal import savgol_filter import pywt def readSignal(nomFichier, N):