File:Comparaison filtres median savitzky golay scipy.svg
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Captions
Captions
Comparison between the median and Savitzky-Golay filters implemented in the signal module of the Python SciPy library.
Summary edit
| Description |
Français : Comparaison des filtres médian et de Savitzky-Golay mis en œuvre dans le module signal de la bibliothèque SciPy pour Python.
English: Comparison between the median and Savitzky-Golay filters implemented in the signal module of the Python SciPy library.
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| Date | |
| Source | Own work |
| Author | Cdang |
 The source code of this SVG is invalid due to 10 errors.
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This W3C-invalid plot was created with Matplotlib.
This W3C-invalid vector image was created with Python by cdang.
Source code
Python code
import numpy as np
import scipy.signal as signal
import matplotlib.pyplot as plt
epsilon = 0.1 # amplitude du bruit
x = np.linspace(0, 2, 40) # points d'abscisse
# Génération d'un signal gaussien bruité
y = 0.1*np.exp(-(10*(x - 1)*x + 0.125)) + epsilon*np.random.normal(x)
# Lissage
ylissemf = signal.medfilt(y, 7)
ylissesg = signal.savgol_filter(y, 7, 3)
# Affichage
fig, liste_axes = plt.subplots(1, 2, constrained_layout=True, figsize = [10, 6])
#fig = plt.figure(figsize = [10, 6])
liste_axes[0].plot(x, y, "b.")
liste_axes[0].plot(x, ylissemf, "k-", linewidth="0.5")
liste_axes[0].set_title("scipy.signal.medfilt(y, 7)")
liste_axes[1].plot(x, y, "b.")
liste_axes[1].plot(x, ylissesg, "k-", linewidth="0.5")
liste_axes[1].set_title("scipy.signal.savgol_filter(y, 7, 3)")
plt.savefig("comparaison_filtres_median_savitzky_golay_scipy.svg", format="svg")
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 10:18, 10 May 2023 | | 900 × 540 (48 KB) | Cdang (talk | contribs) | Uploaded own work with UploadWizard |
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