4 ms·
Yeah I agree with respect to the sample rate. I wasn't really sure what sample rate would be best when I started recording the audio, so just picked the highes
by anfractuosity 9y ago
Yeah I agree with respect to the sample rate. I wasn't really sure what sample rate would be best when I started recording the audio, so just picked the highest the soundcard could handle.
I'll definitely look into applying a bandpass filter, thats a good idea!
I had wondered about the spectral signature idea, I was wondering if I could simply slide a window across the data, applying some kind of correlation function, using the magnitude data from the FFT of a known 'bubble' output compared to the window. But I wasn't sure what kind of correlation function to use, whether maybe Pearson correlation coefficient would be sensible?
I like your idea of using multiple microphones to get a 3D visualisation.
- cocoablazing 9y agoYou are better off squaring the signal. Applying an FFT to get the magnitude will smear your signal in time. I suggest you look into acoustic emission detection.
- anfractuosity 9y agoThanks! I'd not heard of acoustic emission detection, I'll look into that now. Do you think my sample rate is high enough for acoustic emission detection, as I notice in your other comment you mention they often use sample rates many times higher. Also is there a particular paper you'd recommend regarding acoustic emission detection?