How to FFT accelerometer adxl345 data on matlab

35 次查看(过去 30 天)
How to FFT accelerometer adxl345 data on matlab
  2 个评论
Neo Neo Qeen
Neo Neo Qeen 2022-10-7
Superbly written article, if only all bloggers offered the same content as you, the internet would be a far better place.. See more
John Smith
John Smith 2023-12-26
Acquire the accelerometer data from the ADXL345 sensor using the appropriate library or interface for your device.
I think this is an informative post and it is very useful and knowledgeable. I am very lucky to visit your page. It is a very amazing page. Click here

请先登录,再进行评论。

回答(2 个)

Gerhardt
Gerhardt 2022-6-5
编辑:Gerhardt 2022-6-6
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.
Have a nice day to all the members
  1 个评论
jack maa
jack maa 2024-1-1
Agreed to your research about expired domains. Yes, Google is approving the expired domains for News. But keep in mind the way back should be clear of that specific domain. However, here you can check the latest Click here just after the draw look place.

请先登录,再进行评论。


uk Results
uk Results 2023-1-27
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

类别

Help CenterFile Exchange 中查找有关 Vibration Analysis 的更多信息

产品


版本

R2022a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by