The Fast Fourier Transform (FFT) is an efficient algorithm for computing the Discrete Fourier Transform (DFT): it converts a signal from the time domain into the frequency domain, revealing which frequencies are present in a signal and how strong they are. It is the workhorse behind spectrum analyzers, audio effects, Read more
So far I was using the Fast Fourier Transform (FFT) functionality of my “Arduino Audio Tools Library” for analyzing the audio. This week I spent some time to make sure that we also support the inverse FFT properly. The inverse FFT is generating audio samples in the time domain from Read more
I have added a simple output class to my Arduino Audio Tools which can display the result of a FFT analysis on an LED Matrix. For my tests, I am using a 32 x 8 LED Matrix, but first we need to test the functionality. Determine the Wiring Logic I Read more
I had some pitch shifting effect on my to-do list for a long time now and finally managed to provide this in my Arduino Audio Tools Library. Pitch shifting is the functionality to change the pitch of an input signal w/o changing the length. If you use a higher pitch Read more
In my Arduino AudioTools I am providing an easy API with different implementations for Fast Fourier Transform (FFT). This is a clever algorithm that can extracts the frequencies from an input signal. So far I never looked at the speed, so I thought it might be interesting to get to Read more
The Fast Fourier Transform (FFT) is a mathematical operation that changes the domain (x-axis) of a signal from time to frequency. This is particularly useful for determining the frequency of a signal or for decomposing a signal consisting of multiple frequencies. I had this on my to-do list for quite Read more