Vq = interp1gap(.,'extrap',extrapval) returns the scalar extrapval for out-of-range values. Vq = interp1gap(.,'interpval',vval) specifies a value with which to replace vq elements corresponding to large gaps. 'previous' previous neighbor interpolation (Matlab R2014b or later) 'next' next neighbor interpolation (Matlab R2014b or later) 'v5cubic' Cubic interpolation used in MATLAB 5. Plot the two sets of sample values against the sample points. x,y ndgrid (0:10,0:5) Create two different sets of sample values at the sample points and concatenate them as pages in a 3-D array. Create a grid of 2-D sample points using ndgrid. Learn more about interpolate, missing values I have Matlab 2013, and I want to apply spline interpolation in my data matrix with NaN values. Interpolate Two Sets of 2-D Sample Values. 'pchip' piecewise cubic Hermite interpolation Fill missing NaN values with Interpolation. Default method is 'linear', but can be any of the following: Vq = interp1gap(.,'method') specifies a method of interpolation. If maxgapval is not declared, interp1gap will interpolate over infitely-large gaps. If x and xq are not provided, units of maxgapval are indices of v, assuming any gaps in v are represented by NaN. If x and xq are given, units of maxgapval match the units of x. Vq = interp1gap(.,maxgapval) specifies a maximum gap in the independent variable over which to interpolate. Vq = interp1gap(x,v,xq) interpolates to find vq, the values of the underlying function v at the points in the vector or array xq. Vq = interp1gap(v) linearly interpolates to give undefined (NaN) values of v. This function performs interpolation over small gaps in 1D data. When this is the case, you may want to interpolate over short gaps in your data, but where no data exist for long periods of time, it's inappropriate to interpolate. This may be due to a faulty sensor or irregular sampling intervals.
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