2d extrapolation to replace NaN in corners

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Leon Thürnau
Leon Thürnau 2022-8-26
编辑： Leon Thürnau 2022-8-30
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.

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采纳的回答

Matt J
Matt J 2022-8-26
One option is fillmissing.
There are also offerings on the File Exchange, e.g.,
https://www.mathworks.com/matlabcentral/fileexchange/4551-inpaint_nans?s_tid=ta_fx_results
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Leon Thürnau
Leon Thürnau 2022-8-30
编辑：Leon Thürnau 2022-8-30
Update: "Linear" with dim = 2 seems so solve my problem !
Matt J
Matt J 2022-8-30
Glad to hear it, but since fillmissing worked, please Accept-click the answer.

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更多回答（1 个）

Star Strider
Star Strider 2022-8-26
Ran in:
The fillmissing function may do what you want.
Try something like this —
M = NaN(5);
M([3 (7:9) 11:15 (7:9)+10 23]) = randi(9, 1, 13)
M = 5×5
NaN NaN 4 NaN NaN NaN 6 6 2 NaN 2 6 1 6 4 NaN 5 9 4 NaN NaN NaN 2 NaN NaN
Mfm = fillmissing(M, 'nearest')
Mfm = 5×5
2 6 4 2 4 2 6 6 2 4 2 6 1 6 4 2 5 9 4 4 2 5 2 4 4
.

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