What are windowing functions in NumPy FFT?

What are windowing functions in NumPy FFT?

Windowing functions are used in signal processing to reduce spectral leakage when performing a Fourier transform. In NumPy, you can apply these functions to your data before using the FFT.

Can you give me examples of windowing functions available in NumPy?

Sure! NumPy provides several windowing functions like Hamming, Hanning, Blackman, and Bartlett. You can use them with numpy.hanning(), numpy.hamming(), etc.

How do I apply a windowing function to my data before FFT?

You can multiply your signal by a window function before applying FFT. For example:

import numpy as np
signal = np.random.rand(1024)
window = np.hanning(1024)
windowed_signal = signal * window
fft_result = np.fft.fft(windowed_signal)