Howtosignalprocessing
- What is FFT windowing?
- Can Arduino perform FFT?
- What is FFT and how can you implement it on an Arduino?
- What is 64 point FFT?
What is FFT windowing?
A window function provides a weighted selection of a portion of a time waveform for fast Fourier transform (FFT) analysis. It is generated by multiplying the original time waveform by a user-defined window function of some width. In this case, width equals two times the number of analysis lines.
Can Arduino perform FFT?
There are of course several ways to implement FFT on an Arduino. You can implement it from scratch or you can use a pre-made library. In this post we'll do the latter.
What is FFT and how can you implement it on an Arduino?
This example first creates a sinusoidal wave with the frequency of 1000Hz (sampled at 5000Hz). It then windows this using a Hamming function. Later it computes the FFT, determines the frequency with the highest magnitude, and returns it as the fundamental frequency. If that value is close to 1000 Hz, this code works.
What is 64 point FFT?
The 64-point FFT is realized by decomposing it into a two-dimensional structure of 8-point FFTs. This approach reduces the number of required complex multiplications compared to the conventional radix-2 64-point FFT algorithm. The complex multiplication operations are realized using shift-and-add operations.
