Maybe if ELM Chan's FFT Library for Arduino was used it could work?http://arduino.cc/forum/index.php/topic,56331.0.htmlthe dull sound would have less high frequency energy compared to the high pitched frequency components of the normal sound...correct me if i'm wrong,but sampling should also be very fast to accurately record high pitched components, but maybe...
Offloading the spectrum analysis to the MSGEQ7 would help reduce CPU cycles spent sampling the audio and free them up for the actual fingerprint analysis.
I would like for my Arduino to detect sound trough a microphone and check if it is "glass breaking" or just some other random low frequency noice. Is that poassible ?
do i have to use an active crossover driver or an improvised crossover driver using caps ?