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.

Understanding the Fourier Transform isn't just about using it – it's about unlocking its true potential. Imagine interpreting results with confidence, troubleshooting issues like a pro, and squeezing even more insights from your data.

That's why I've created "How the Fourier Transform Works," an online course that breaks down the mathematical complexities of the Fourier Transform into clear, bite-sized lessons. No more feeling lost in equations!

The official release is still a few months away, but you can be one of 50 early birds and get 50% off the course price, instant access to the first 15 lectures, and automatic updates as new lectures are added.

Click the link below, and secure your spot as one of the lucky 50 today!
https://bit.ly/3vhS3z2

Link to the Cubic Spline and Linear Interpolation JavaScript code featured in the video:
https://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