how to double integrate highly nonlinear numerical dataset

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Dear all,
I need to find displacement data from the available acceleration dataset. All dataset is numerical and highly nonlinear.
I was wondering if there any efficient methods with the least error (e.g., trapezoid method may generate too errorneous answers.).
AND more importantly, are there any features in the signal processing and communucation app in matlab that facilitates such a signal processing to cinvert the acc. data into disp. data?
Thanks!
  4 个评论
Mathieu NOE
Mathieu NOE 2022-8-30
most of the issue is to handle properly the DC signal (in your acceleration signal what is "real" and what is offset error or drift , and how to avoid integrating them). without having an idea of what the result should be (in others terms, a tool that helps you calibrate your post processing) it's almost mission impossible to get this right.
Alireza Babaei
Alireza Babaei 2022-8-30
Thanks all, it was good hepl.
Yes the collected data is still noisy though we have utilized very expensive accelerometers.
I think as you mentioned there is no feature on the signal processing app in matlab and I have script the proper code (and I will utilize the ones you sent to me) to handle this properly.
Thanks a lot all!

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