1-D interpolation along specified dimension
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Hello, I have a tall 2-D matrix 6037500x44. I want perform an interpolation of all the 6037500 rows, using the 44 sample points and 301 query points. It is basically a 1-D interpolation along the second dimension. A for-loop row-by-row lasts forever. Can anybody suggest a more efficient way? Thanks!
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dpb
2017-2-10
Not sure who's the independent x value but seems like the vectorized form should work
xout=interp1(x,data.',xq);
where x is the independent variable range commensurate with the range of the data over the 44 columns consistent with xq, the 301-length interpolating points.
2 个评论
Giorgio Trumpy
2017-2-13
Serge
2022-4-14
What if its 3rd or higher dimentions? Is there ay way to avoid using permute, since its a bit ugly.
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