def halfoverlap(X, window_size):
"""
Create an overlapped version of X using 50% of window_size as overlap.
Parameters
----------
X : ndarray, shape=(n_samples,)
Input signal to window and overlap
window_size : int
Size of windows to take
Returns
-------
X_strided : shape=(n_windows, window_size)
2D array of overlapped X
"""
if window_size % 2 != 0:
raise ValueError("Window size must be even!")
window_step = window_size // 2
# Make sure there are an even number of windows before stridetricks
append = np.zeros((window_size - len(X) % window_size))
X = np.hstack((X, append))
num_frames = len(X) // window_step - 1
row_stride = X.itemsize * window_step
col_stride = X.itemsize
X_strided = as_strided(X, shape=(num_frames, window_size),
strides=(row_stride, col_stride))
return X_strided
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