![]() ![]() 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. 'pchip' piecewise cubic Hermite 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. Column 1 is time in terms of crank-angle degrees, and the rest are data. There are 20 columns in each file, but the number of lines are varied. My problem is as such: I need to import some files, for example, 5. If x and xq are given, units of maxgapval match the units of x. However, it doesn't seem that there is a resolution. 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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