Using PASCO's FFT Ap for Investigation 16D

AI Thread Summary
The discussion centers around challenges faced when using a tuning fork with FFT/Spectrum Analyzer apps, particularly regarding the inability to obtain a clear frequency reading. Users suspect that built-in background noise cancellation in laptop microphones may be interfering with the detection of the tuning fork's frequency. There are inquiries about potential solutions to bypass this issue, including recommendations for microphones without noise cancellation and the search for FFT apps featuring a trigger threshold function for more precise event detection. Additionally, there's a concern about the overall resolution of the FFT, as it appears inadequate for calibration purposes. The term "Investigation 16D" refers to a specific PASCO lab activity that requires the use of FFT analysis.
FortranMan
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I was trying to incorporate this lab into the course, but when I try using a tuning fork on the FFT/Spectrum Analyzer app I can't get a well defined frequency reading. I tried doing the same thing on an opensource FFT app and had the same issue. I am thinking most laptop microphones these days have built-in background noise cancellation, which is why the FFT app cannot detect the clean frequency of a tuning fork. Is there anyway to jail break this so the app works properly? What open market microphone would anyone recommend that comes without built in noise cancellation? Also does anyone know of an FFT app that comes with a trigger threshold function? These were useful in my lab if you were looking for a particular event, rather than having to keep the soundwave constant till the update rate can pick it up.
 
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FortranMan said:
but when I try using a tuning fork on the FFT/Spectrum Analyzer app I can't get a well defined frequency reading.
Sorry, what does "Investigation 16D " mean in your thread title?
 
FortranMan said:
I was trying to incorporate this lab into the course, but when I try using a tuning fork on the FFT/Spectrum Analyzer app I can't get a well defined frequency reading. I tried doing the same thing on an opensource FFT app and had the same issue. I am thinking most laptop microphones these days have built-in background noise cancellation, which is why the FFT app cannot detect the clean frequency of a tuning fork.
I wouldn't think background noise cancellation would get rid the sound from a tuning fork but would instead get rid of white noise. Have you checked if the microphone works at all? Does the FFT display show anything if you talk into the microphone?
 

That's why I suspect there is some noise cancellation going on. The FFT jumps around when I speak into the microphone, but if I hold a constant humming tone it quickly dies out. The resolution of the FFT seems pretty bad as well, which was why I was using a tuning fork as a calibration mechanism.
It refers to the specific PASCO lab that calls for students to use an FFT.
 
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