Hello!
I am trying to iterate over rows of a matrix (Z) and fit a curve to each row and then subtract the fitted curve from the original data, however all of my rows contain NaN values. I would like to somehow fit the curve ignoring the NaN values, to subtract this curve from my original matrix row of values. The result would be a matrix with the same dimensions as my original, with the curve subtracted from real values and NaN values in their original place holders. I have thought about indexing NaN values using isnan() and then applying the polyfit to values when isnan() == 0 but everything I've tried so far hasn't quite worked out.
This is what it looks like so far:
for j = 1:m;
nx = size(Z,2);
x = 1:nx;
p = polyfit(x,Z(j,:),2);
y = polyval(p,x)
Z(j,:) = Z(j,:) - y;
end
Thanks for your help!

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Image Analyst
Image Analyst 2017년 11월 24일

0 개 추천

Can you attach Z in a .mat file so we can try things? Like
for j = 1:m;
thisRow = Z(j, :);
nx = size(Z,2);
x = 1:nx;
nanIndexes = isnan(thisRow);
thisRow(nanIndexes) = [];
x2 = x(~nanIndexes)
p = polyfit(x2,thisRow,2);
y = polyval(p,x)
Z(j,:) = Z(j,:) - y;
end
but that's just off the top of my head. would be easier if we had your Z.

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Maddie Harasyn
Maddie Harasyn 2017년 11월 24일
This works perfectly! I tried to attach my matrix but it was deemed too large, as it is a DEM ASCII file of a large drone survey I ran. I think I was having trouble, as I am used to Python and was trying to complete this with embedded for and if loops.
Thanks so much!

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