清空筛选条件
清空筛选条件

How to normalise time series data to create synchronisation between sensors?

11 次查看（过去 30 天）
Jonathan Williams
评论： Jonathan Williams 2022-5-3
Hello, I have 2 inertial sensors producing euler angles but seemingly at different frequencies.
I need to syncronise them. I have used linear interpolation to normalise the data to a fixed number of points.
%% data as x
Nx = size(x,1);
xc = [x;x(1,:)];
y = interp1(0:Nx, xc, (0:8000)*(Nx/8001));
%%
I then ran a cross correlation function to check the data are well aligned. They are, zero lag gives the best correlation.
Despite this visually they do NOT looked synchronised.
Both have time stamps but these are not identical as the data is from different sampling frquencies.
How do I go about synchronising these?
  2 个评论
Jonathan Williams
Jonathan Williams 2022-5-3
Many thanks for this.
The result does indeed provide vectors of the same length, however it has produced a suspicious flat line in the data that isn't there in the orginal data.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Correlation and Convolution 的更多信息

标签

产品


版本

R2021b

Community Treasure Hunt

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

Start Hunting!

Translated by