# Equidistant interpolation with outliers

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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.

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### 回答 (1 件)

Deepak Meena 2021 年 3 月 21 日
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

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