Im trying to evaluate Audition for a particular project in which I am acquiring ultrasonic signals. I am using 4 ultrasonic microphones and a Roland Octa-Capture as my USB capture device. It is very important that I am able to see some type of frequency analysis in real time, since I cant hear the signal. The only current way I have been able to do a real time frequency analysis is to set each track as a monitor input, but the problem is that my frequency analysis is a composite of all 4 channels, which isnt really helpful. Is it possible to create a real-time frequency analysis of these 4 signals?
Sorry - haven't had a chance to look yet. I have a sneaky feeling that this may work better in CC than CS6, but I'd have to confirm that. I think that what should happen (if I've got it right) is that you should get four overlays on the same background - but if you want it to run in real time, you'll have to use a relatively small FFT anyway, so the resolution won't be that wonderful.
But since it is for checking ultrasonic frequencies a small FFT shouldn't be a problem should it?
I think it might be... smaller numbers, lower resolution; it's the number of slices you take of the entire spectrum.
I'm using Audition CC, I purchased it yesturday. Even if I cant have seperate FFT signals, the ability to quickly see each signal is super helpful.
Right now, I only get one overlay on the background, and it appears that it is a composite of all the signals. My current approach is as follows:
Is this the correct approach for doing something like this? Again, I am not very familliar with how routing and what not works in DAW programs.
For resolution, I am not in need of super high resolution FFT. More so I am concerned with being able to figure out that there is something in the frequency band of interest. Since I can't listen to the signal, the FFT is my only way of knowing that there is some signal present.
Thanks for your help!
Right, but if I have any background noise, I can't really differentiate the background noise from the signal of interest by just looking at the track. For some of the testing I'll be doing I will have intentional background noise. Thats why I really like the FFT, so I can look at 23kHz and say yup, my signal is there.