Equidistant interpolation with outliers

6 次查看(过去 30 天)
Consider a 2 dimensional curve based on GPS data. That is, each point consists of lat long coordinates and we addiontally have a time stamp. How to create a curve that "resembles" the original but that is formed by equidistant points? The method should be robust with respect to outliers.

回答(1 个)

Deepak Meena
Deepak Meena 2021-3-21
Hi,
You can do the following :
  • Use the fit fucntion with ROBUST name pair argument to get a fit
  • Get the equidistant x points as
Xq = linspace(a,b,no);
  • Get the data at those points using feval function :
Yq = feval(f,Xq);% f is the fit
Now plot the data [Xq,Yq] , we will get a curve that "resembles" the original but that is formed by equidistant points
Thanks

类别

Help CenterFile Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by