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2D Wavelets.py
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Sat, Jan 18, 10:20

2D Wavelets.py
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# -*- coding: utf-8 -*-
"""
@author: srpv
contact: vigneashwara.solairajapandiyan@empa.ch, vigneashpandiyan@gmail.com
The codes in this following script will be used for the publication of the following work
"Exploring Acoustic Emission Monitoring during Laser Powder Bed Fusion of premixed Ti6Al4V-Fe powder: Evidence of martensitic phase transformation supported by operando X-ray diffraction "
@any reuse of this code should be authorized by the first owner, code author
"""
# libraries to import
# libraries to import
import numpy as np
import pandas as pd
import seaborn as sns
from scipy import signal
import os
from Utils import *
# %%
file = os.path.join(os.getcwd(), os.listdir(os.getcwd())[0])
total_path = os.path.dirname(file)
print(total_path)
# %%
sns.set(font_scale=1.5)
sns.set_style("whitegrid", {'axes.grid': False})
sns.set_style("ticks", {"xtick.major.size": 8, "ytick.major.size": 8})
sample_rate = 1500000
windowsize = 5000
t0 = 0
dt = 1/sample_rate
time = np.arange(0, windowsize) * dt + t0
'''Kindly run the script inside the Dataprep folder'''
path = r'C:\Users\vigneashwara.p\Desktop\C4Science\lpbf-acoustic-dynamics-of-in-situ-alloying-of-titanium-fe\Data_preprocessing'
M = ['KM', 'CM']
for Material in M:
classfile = str(Material)+'_Class_label'+'.npy'
rawfile = str(Material)+'_Rawspace'+'.npy'
classfile = os.path.join(path, classfile)
rawfile = os.path.join(path, rawfile)
classspace = np.load(classfile).astype(np.float64)
classspace = pd.DataFrame(classspace)
rawspace = np.load(rawfile).astype(np.float64)
rawspace = pd.DataFrame(rawspace)
# Frequencyplot(rawspace, classspace, Material)
Wavelet2D(Material, sample_rate, rawspace, classspace, time, total_path)

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