What are some tips for using FFT in NumPy?
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What are some tips for using FFT in NumPy?
When using FFT in NumPy, ensure your input data is properly pre-processed. Zero-padding can help improve frequency resolution.
How do I zero-pad my data before applying FFT?
You can use numpy.pad() to add zeros to your data. For example, numpy.pad(data, (0, n), 'constant') adds n zeros.
What is the importance of windowing before FFT?
Windowing reduces spectral leakage by tapering the edges of your signal. Use functions like numpy.hanning() or numpy.hamming().
Can I visualize the FFT results easily?
Yes! You can use matplotlib to plot the FFT results. Just use plt.plot() on the magnitude of the FFT output.
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