The choice of the method dictates the smoothness of the interpolated data. The choice for the technique is nearest, linear, cubic, or spline. In each function, we have the option of specifying a method of interpolation.

Vnew=interp3(x,y,z,xnew,ynew,znew,method).ДЄlso, there is an n-dimensional analog, interpn, if you ever need it. Given v i at (x i, y i,z i), finds v j at desired(x j,y j,z j).

It is called two-dimensional interpolation because z depends on two variables, x, and y. Given z i at (x i, y i), finds z j at desired (x j,y j )from z=f(x,y).The function f is found from interpolation. Where the method is an optional argument discussed after the description of interp2 and interp3. It is called one-dimensional interpolation because y depends on a single variable x. Here f is a continuous function that is seen from interpolation. Given y i at x i, finds y j at x j from y j=f(xj ). Let us understand these functions of MATLAB one by one: interp1 MATLAB provides the following functions to help interpolation: In MATLAB, we can interpolate our data using splines or Hermite interpolants on a fly. The most common interpolation technique is Linear Interpolation.ДЄ more exotic interpolation scheme is to link the data points using third degree or cubic polynomials. Interpolation is the process of describing a function which 'connects the dots' between specified (data) points.

Matlab interp1