Using PASCO's FFT Ap for Investigation 16D

In summary, the conversation discusses difficulties in using a tuning fork on an FFT/Spectrum Analyzer app and an open source FFT app due to built-in background noise cancellation on laptop microphones. The speaker also asks for recommendations for a microphone without noise cancellation and an FFT app with a trigger threshold function. They also mention using a tuning fork as a calibration mechanism for the FFT's low resolution.
  • #1
FortranMan
30
0
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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  • #2
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?
 
  • #3
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?
 
  • #4

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.
 

FAQ: Using PASCO's FFT Ap for Investigation 16D

What is the purpose of using PASCO's FFT App in Investigation 16D?

The purpose of using PASCO's FFT App in Investigation 16D is to analyze the frequency components of a signal. This allows students to understand the spectral characteristics of different signals and how they can be decomposed into their constituent frequencies using Fast Fourier Transform (FFT) techniques.

How do you set up the PASCO FFT App for data collection in Investigation 16D?

To set up the PASCO FFT App for data collection, you need to connect the sensor to the PASCO interface and launch the FFT App. Calibrate the sensor if necessary, select the appropriate sampling rate, and ensure the signal source is properly connected. Start data collection and observe the real-time frequency spectrum displayed by the app.

What types of signals can be analyzed using the PASCO FFT App in Investigation 16D?

The PASCO FFT App can analyze various types of signals, including sound waves, electrical signals, and vibrations. It is most commonly used to study periodic signals, transient events, and noise, providing insights into their frequency content and amplitude.

How do you interpret the results obtained from the PASCO FFT App?

Interpreting results from the PASCO FFT App involves examining the frequency spectrum displayed on the screen. Peaks in the spectrum indicate dominant frequencies within the signal. The height of each peak represents the amplitude of that frequency component. By analyzing these peaks, you can identify the fundamental frequency and harmonics, as well as any noise present in the signal.

What are some common challenges when using the PASCO FFT App, and how can they be addressed?

Common challenges when using the PASCO FFT App include selecting the correct sampling rate, avoiding aliasing, and ensuring proper signal connection. These can be addressed by following the setup guidelines carefully, using anti-aliasing filters if necessary, and double-checking all connections. Additionally, understanding the theory behind FFT and practicing with different signals can help users become more proficient in using the app.

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