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How to FFT accelerometer adxl345 data on matlab

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Phakapol Tungboontina
Phakapol Tungboontina el 27 de Abr. de 2022
Comentada: jack maa el 1 de En. de 2024
How to FFT accelerometer adxl345 data on matlab
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Neo Neo Qeen el 7 de Oct. de 2022
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John Smith
John Smith el 26 de Dic. de 2023
Acquire the accelerometer data from the ADXL345 sensor using the appropriate library or interface for your device.
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Respuestas (2)

Gerhardt
Gerhardt el 5 de Jun. de 2022
Editada: Gerhardt el 6 de Jun. de 2022
Plz read the discussion here https://www.mathworks.com/matlabcentral/answers/460422-fft-on-data-acquired-from-an-accelerometer-teatime. Hope you find your solution in this discussion.
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  1 comentario
jack maa
jack maa el 1 de En. de 2024
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uk Results
uk Results el 27 de En. de 2023
To perform a Fast Fourier Transform (FFT) on accelerometer data from an ADXL345 sensor in MATLAB, you can use the built-in "fft" function.
Here is an example of how to do this:
  1. Acquire the accelerometer data from the ADXL345 sensor using the appropriate library or interface for your device.
  2. Import the data into MATLAB using the "importdata" function or a similar method.
  3. Perform the FFT on the data using the "fft" function, for example:
scss code
accelerometerData = importdata('accelerometerData.txt'); accelerometerDataFFT = fft(accelerometerData);
  1. Plot the results using the "plot" function or a similar method, for example:
scss code
plot(abs(accelerometerDataFFT));
Keep in mind that you may need to adjust the parameters and settings of the "fft" and "plot" functions to suit your specific data and analysis needs.
Also, you may want to consider the time frame of your data, for example if you are looking for a peak frequency of your signal, it would be good to have a full period of the signal on the time frame, you can check that by looking at the sampling rate of your data and the time frame of your data.Read more

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