diff --git a/spafe/utils/preprocessing.py b/spafe/utils/preprocessing.py
index eef8d6a..2ee6297 100644
--- a/spafe/utils/preprocessing.py
+++ b/spafe/utils/preprocessing.py
@@ -9,6 +9,7 @@
 
 from typing import Tuple
 
+import math
 import numpy as np
 from scipy.signal import lfilter
 from dataclasses import dataclass
@@ -89,7 +90,15 @@ def stride_trick(a: np.ndarray, stride_length: int, stride_step: int) -> np.ndar
         https://numpy.org/doc/stable/reference/generated/numpy.lib.stride_tricks.sliding_window_view.html
     """
     a = np.array(a)
-    nrows = ((a.size - stride_length) // stride_step) + 1
+
+    # Compute to number of rows and add the missing zeros to complete de last frames before stride tricks
+    float_nrows = (a.size - stride_length + stride_step) / stride_step
+    nrows = math.ceil(float_nrows)
+
+    if nrows - float_nrows > 0:
+        num_zero_to_add = stride_length - a.size + math.floor(float_nrows) * stride_step
+        a = np.append(a, np.array([0] * num_zero_to_add))
+
     n = a.strides[0]
     return np.lib.stride_tricks.as_strided(
         a, shape=(nrows, stride_length), strides=(stride_step * n, n)
@@ -135,11 +144,6 @@ def framing(
     # make sure to use integers as indices
     frames = stride_trick(sig, frame_length, frame_step)
 
-    if len(frames[-1]) < frame_length:
-        frames[-1] = np.append(
-            frames[-1], np.array([0] * (frame_length - len(frames[0])))
-        )
-
     return frames, frame_length