1-D interpolation along specified dimension

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!

Answer 1

[dpb]

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.

[Giorgio Trumpy]

This is exactly what I was looking for. Thanks a lot, Giorgio

[Serge]

What if its 3rd or higher dimentions? Is there ay way to avoid using permute, since its a bit ugly.