This website contains more than 250 free tutorials! Every tutorial is accompanied by a YouTube video. If we type “help interp1” we can obtain the following options. Learn more about interpolate, extrapolate, array, fft, downsampling, inter1, frequency, interpolated I'm trying to interpolate an array of size nearly 2000. If we want to perform some other type of interpolation, we need to specify the fourth argument. The MATLAB function “interp1()” computes interpolated values using the default settings that correspond to linear interpolation. In our case, this vector is called “time_dense”. The third argument is a set of values on the x axis at which we want to compute the interpolated values. In our case, the first two arguments are “time_coarse” and “coarse_function” which are used to define the original function values. The first two arguments are the set of points that define the original function. The MATLAB function “interp1()” is used to interpolate the function values. If the data are in an aligned grid, it is possible to use griddata. That will depend on your data and points where you want to interpolate. interp2 is a wrapper for griddedInterpolant. Plot(time_coarse,coarse_function,'o',time_dense,dense_function_interpolated,'.') interp2 performs many checks before calling griddedInterpolant, which is the reason for its 400ms slower performance. % Vq = interp1(X,V,Xq) interpolates to find Vq, the values of the underlying function V=F(X) at the query points Xq.ĭense_function_interpolated = interp1(time_coarse,coarse_function,time_dense) Coarse_function=time_coarse.^2-0.1*time_coarse.^3
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