How to use the FFT on a signal of any size
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- čas přidán 3. 08. 2024
- Tired of having to make sure your signal contains a specific number of samples (power of 2)? Learn how to use the FFT with signals of any length!
In this video, we’ll discover 3 powerful techniques to overcome the power of 2 limitation, discuss the pros and cons of each method, help you choose the right method for your application, and discover how to avoid data distortion and ensure accurate frequency analysis.
Gain the knowledge and control to perform confident and accurate frequency analysis using the FFT.
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Link to the Cubic Spline and Linear Interpolation JavaScript code featured in the video:
howthefouriertransformworks.c...
00:00 Introduction
00:46 Ident
00:58 The big limitation of the FFT
02:21 Zero Padding
02:48 Resampling
03:57 Overlap-Add
06:18 Master the Fourier Transform
I started watching your videos while i was preparing my graduation project on ofdm systems ,i was fascinated by fourier transform and fft and you helped me to intuitively understand fft ,now am doing masters degree on communications engineering as fft gave passion to study
Mark , you are the best
amazing! superb video!
Thank you! Cheers!
Great video. Can you talk about bluestein fft algorithm? It also works with arbitrary sizes. What does it do to the signal?
I need to research this as I am not as familiar with it as I am with the Cooley-Tukey FFT. However, here is a summary of some stuff pulled from various sources on the internet. docs.google.com/document/d/1CWRSVV6eT6kKvjHsGTA3TUBORF9s-fcxJMPBsry0dGY/edit?usp=sharing