MATLAB INTERP1 CODE

For faster interpolation when X1, X2, Y3, and so on are equally spaced and monotonic, use the methods '* linear', '* cubic', '* spline', or '* nearest'. to an equally spaced domain before interpolating. Variable spacing is handled by mapping the given values in X1, X2, X3.

'nearest' for nearest neighbor interpolationĭiscussion All the interpolation methods require that X, Y and Z be monotonic and have the same format ('plaid') as if they were produced by ndgrid.

'spline' for cubic spline interpolation.

'linear' for linear interpolation (default).

VI = interpn(V,ntimes)Įxpands V by interleaving interpolates between each element, working recursively for ntimes iterations. Interpolates as above, assuming X1 = 1:size(V,1), X2 = 1:size(V,2), X3 = 1:size(V,3), and so on. In this case, interpn interprets these vectors as if you issued the command ndgrid(y1,y2,圓.). Alternatively, you can pass in the vectors y1, y2, 圓. can be matrices, in which case interpn returns the values of VI corresponding to the points (Y1(i,j),Y2(i,j),Y3(i,j).). specify the points at which the data V is given.

tnew linspace (tarray (1),tarray (end),N).' Warning: Columns of data containing NaN values have been ignored during interpolation.

MATLAB INTERP1 CODE

tnew is a little large, but I have inserted the code that creates it. For a multidimensional V, you should call interpn with 2*N+1 arguments, where N is the number of dimensions in V. The picture with the datenums is the tarray. Interpolates to find VI, the values of the underlying multidimensional function V at the points in the arrays Y1, Y2, Y3, etc. Multidimensional data interpolation (table lookup) Interpn (MATLAB Function Reference) MATLAB Function Reference

Matlab interp1