Using PASCO's FFT Ap for Investigation 16D

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SUMMARY

The discussion centers on challenges faced while using PASCO's FFT/Spectrum Analyzer app for Investigation 16D, particularly in obtaining accurate frequency readings from a tuning fork. Users report that built-in noise cancellation in laptop microphones may hinder the app's performance, leading to poor frequency detection. Suggestions include exploring open market microphones without noise cancellation and seeking FFT apps that feature a trigger threshold function for better event detection. The conversation emphasizes the need for appropriate hardware and software configurations to enhance FFT analysis accuracy.

PREREQUISITES
  • Understanding of FFT (Fast Fourier Transform) principles
  • Familiarity with PASCO's FFT/Spectrum Analyzer app
  • Knowledge of microphone specifications, particularly noise cancellation features
  • Experience with sound wave calibration techniques
NEXT STEPS
  • Research open market microphones that lack built-in noise cancellation
  • Explore FFT apps with trigger threshold functions for enhanced event detection
  • Investigate methods to disable noise cancellation on laptop microphones
  • Learn about calibration techniques for accurate frequency measurement using tuning forks
USEFUL FOR

This discussion is beneficial for educators, students conducting experiments with FFT analysis, audio engineers, and anyone involved in sound measurement and analysis using PASCO tools.

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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