Use FFT to handle MEMS microphone data

[Taylor]

Hi Nordic,

The proposed approach involves capturing ambient sound from the surroundings to achieve different LED display effects. The current plan is to use an Analog-to-Digital (AD) converter to collect output from MEMS microphones. Subsequently, Fast Fourier Transform (FFT) will be applied to analyze the frequency components of the sound, enabling the implementation of distinct LED display effects based on the frequency variations.

I am not entirely certain whether the ADC of the nRF52832 can achieve this effect. Also, is this approach feasible?

[ovrebekk]

Hi 

Sounds like a plan

As a side note it is possible to connect the timer directly to the ADC through the PPI peripheral, for more accurate and consistent timing. If you want to explore this route just let me know, and I will see if I can dig up some samples. 

Best regards
Torbjørn

[Taylor]

ovrebekk said:

As a side note it is possible to connect the timer directly to the ADC through the PPI peripheral, for more accurate and consistent timing. If you want to explore this route just let me know, and I will see if I can dig up some samples. 

That sounds great! I haven't tried the PPI example in the SDK yet, but it seems like a very efficient way to handle things.