python-scipyHow can I use Python and SciPy to apply a Hann window to a signal?

To apply a Hann window to a signal using Python and SciPy, you can use the signal.hann() function. This function takes in a signal array and returns the windowed signal array. For example:

import numpy as np
from scipy import signal

# Generate a signal
t = np.linspace(0, 1, 500, endpoint=False)
sig = np.sin(2 * np.pi * 5 * t)

# Apply a Hann window
win = signal.hann(500)
filtered = sig * win

# Print the filtered signal
print(filtered)

The output of the above code would be an array of the windowed signal.

The code consists of the following parts:

1. Importing the necessary packages (numpy and scipy.signal).
2. Generating a signal (sig) with np.linspace() and np.sin().
3. Applying the Hann window (win) to the signal with signal.hann().
4. Multiplying the signal and the window to get the filtered signal (filtered).
5. Printing out the filtered signal.

Helpful links

• SciPy signal.hann() documentation
• Python numpy.linspace() documentation
• Python numpy.sin() documentation

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