Hello, I have a tall 2-D matrix 6037500×44. 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!
MATLAB: 1-D interpolation along specified dimension
interpolation
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From the documentation:
'spline':
‘Spline interpolation using not-a-knot end conditions. The interpolated value at a query point is based on a cubic interpolation of the values at neighboring grid points in each respective dimension.’
It does not appear to be the same as 'cubic'. According to the documentation, 'cubic' is currently the same as 'pchip'.
Assuming the curves are independent of each other, use interp1()
x = 1:116;c1 = randn(1,116);c2 = rand(1,116)*5;y = linspace(-5,5,1024) .';curves = c2 .* exp(c1.*y - (y-2).^2);imagesc(x, y, curves)
xq = linspace(1, 116, 1024);curves2 = interp1(x, curves.', xq) .';imagesc(xq, y, curves2)
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