diff --git a/TP2/imu_analysis/main.py b/TP2/imu_analysis/main.py
index c2e8996..9058fc9 100644
--- a/TP2/imu_analysis/main.py
+++ b/TP2/imu_analysis/main.py
@@ -1,4 +1,5 @@
 from plotting import plot_angular_speed, plot_linear_acceleration, show_plots
+from processing import calculate_moving_average
 from reader import read_measurements_file
 
 
@@ -19,6 +20,14 @@ def main():
     ay = []
     az = []
 
+    t_lissé = []
+    wx_lissé = []
+    wy_lissé = []
+    wz_lissé = []
+    ax_lissé = []
+    ay_lissé = []
+    az_lissé = []
+
     for measurement in read_measurements_file():
         t.append(measurement.t)
         wx.append(measurement.wx)
@@ -33,6 +42,21 @@ def main():
 
     show_plots()
 
+    interval_lissage = 1000
+
+    t_lissé.append(calculate_moving_average(t, interval_lissage))
+    wx_lissé.append(calculate_moving_average(wx, interval_lissage))
+    wy_lissé.append(calculate_moving_average(wy, interval_lissage))
+    wz_lissé.append(calculate_moving_average(wz, interval_lissage))
+    ax_lissé.append(calculate_moving_average(ax, interval_lissage))
+    ay_lissé.append(calculate_moving_average(ay, interval_lissage))
+    az_lissé.append(calculate_moving_average(az, interval_lissage))
+
+    plot_angular_speed(t_lissé, wx_lissé, wy_lissé, wz_lissé)
+    plot_linear_acceleration(t_lissé, ax_lissé, ay_lissé, az_lissé)
+
+    show_plots()
+
 
 if __name__ == "__main__":
     main()
diff --git a/TP2/imu_analysis/processing.py b/TP2/imu_analysis/processing.py
index fe6271a..ceae313 100644
--- a/TP2/imu_analysis/processing.py
+++ b/TP2/imu_analysis/processing.py
@@ -2,3 +2,20 @@
 Module pour le traitement des mesures
 *************************************
 """
+
+data = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
+interval = 4
+
+
+def calculate_moving_average(data: list[float], interval: int):
+    """Lissage du signal
+    param data: liste du signal
+    param interval: fenêtre de la moyenne glissante"""
+
+    new_list = []
+    for k in range(0, len(data) - interval):
+        somme = 0
+        for i in range(interval):
+            somme += data[k + i]
+        new_list.append((1 / interval) * somme)
+    return new_list