Using PASCO's FFT Ap for Investigation 16D

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Discussion Overview

The discussion revolves around the challenges faced when using PASCO's FFT/Spectrum Analyzer app for a specific lab investigation, particularly in obtaining accurate frequency readings from a tuning fork. Participants explore issues related to microphone performance, background noise cancellation, and the functionality of FFT applications.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant reports difficulty in obtaining a well-defined frequency reading from a tuning fork using the FFT app, suspecting that built-in noise cancellation in laptop microphones may be the cause.
  • Another participant questions the impact of background noise cancellation on the detection of tuning fork sounds, suggesting it may primarily eliminate white noise rather than the tuning fork's tone.
  • A participant notes that the FFT display reacts to spoken input but fails to maintain a constant reading when a steady tone is produced, indicating potential issues with resolution and calibration.
  • There is a request for recommendations on microphones without built-in noise cancellation and for FFT apps that include a trigger threshold function for event detection.

Areas of Agreement / Disagreement

Participants express differing views on the role of background noise cancellation in the issues experienced with the FFT app. The discussion remains unresolved regarding the best approach to achieve accurate frequency readings.

Contextual Notes

Participants have not confirmed the effectiveness of their microphones or the specific settings of the FFT applications used, leaving open questions about the resolution and calibration processes involved.

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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