2d extrapolation to replace NaN in corners
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Hi !
I'm trying to do 2d extrapolation for my table in matlab.
I have a matrix with 101x101 values and corresponding axes with 1x101 and 101x1 values.
Now my problem is the following:
The corners of the matrix are containing NaN values which I want to replace with extrapolated values of the given data.
采纳的回答
Matt J
2022-8-26
1 个投票
There are also offerings on the File Exchange, e.g.,
3 个评论
Leon Thürnau
2022-8-30
移动：Matt J
2022-8-30
Hi ! Thanks a lot for your reply !
I allready self programmed something which is just performing like, so at least I learned that I could have saved time...
Mfm = fillmissing(M, 'nearest')
Unfortunately this isn't exactly what I want, I'm looking for a kind of interpolation / extrapolation of the given data.
Argument "linear" and "spline" aren't working as expected, but linear is the closest to what I need.
Because of saturation the curve should become flatter without rising again.
Leon Thürnau
2022-8-30
编辑：Leon Thürnau
2022-8-30
Update: "Linear" with dim = 2 seems so solve my problem !
Matt J
2022-8-30
Glad to hear it, but since fillmissing worked, please Accept-click the answer.
更多回答（1 个）
Try something like this —
M = NaN(5);
M([3 (7:9) 11:15 (7:9)+10 23]) = randi(9, 1, 13)
Mfm = fillmissing(M, 'nearest')
.
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