ms762wu/EMG_Biometrics_2021
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chore: adjust the soft filter func

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This commit is contained in:
Skudalen 2021-06-24 14:17:31 +02:00
parent 6a490cad6c
commit 78f4e2ffc4
1 changed files with 6 additions and 6 deletions
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12
Signal_prep.py
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@ -4,7 +4,7 @@ from pandas.core.frame import DataFrame
from scipy.fft import fft, fftfreq
import pywt
from scipy.signal import wavelets
import pyyawt
#import pyyawt
import Handle_emg_data as Handler
@ -126,7 +126,6 @@ def denoise_signal_pywt(df:DataFrame):
wavelet = pywt.Wavelet('db4')
cA, cD = pywt.dwt(y_values, wavelet)
x = np.array(range(int(np.floor((y_values.size + wavelet.dec_len - 1) / 2))))
print(x)
return x, cA, cD
# Filters signal accordning to Stein's Unbiased Risk Estimate(SURE)
@ -135,7 +134,7 @@ def sure_threshold_filter(cA, cD):
return cA_filtered, cD
def soft_threshold_filter(cA, cD):
cA_filtered = pywt.threshold(cA, 0.9)
cA_filtered = pywt.threshold(cA, 0.25 * cA.max())
return cA_filtered, cD
# Plots DataFrame objects
@ -148,12 +147,13 @@ def plot_trans(x_f, y_f):
plt.plot(x_f, np.abs(y_f))
plt.show()
#'''
handler = Handler.CSV_handler()
file = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1810/myoLeftEmg.csv"
df = handler.get_time_emg_table(file, 1)
plot_df(df)
#plot_df(df)
x, cA, cD = denoise_signal_pywt(df)
plot_trans(x, cA)
cA_filtered, cD = np.ndarray(threshold_filter(cA, cD))
#plot_trans(x, cA)
cA_filtered, cD = soft_threshold_filter(cA, cD)
plot_trans(x, cA_filtered)