MATLAB: Is interpolation faster in Simulink or Matlab

interp1interpolationMATLABsimulink

I have a Simulink program that is compiled. The Simulink program contains a Matlab function where the physics are modelled. For each timestep an interpolation will take place, a length is interpolated to an angle. I have the opportunity to choose whether to implement the interpolation in Simulink or within the Matlab function. What is the best?

I know 'interp1' is slow and that there are faster functions like 'interp1q' or 'interp1qr' in Matlab but that have greater demands for the input.

Best Answer

You can use the compiled Mex version FEX: ScaleTime.

Related Solutions

MATLAB: Interpolation method (spline)

From the documentation:

'spline':

‘Spline interpolation using not-a-knot end conditions. The interpolated value at a query point is based on a cubic interpolation of the values at neighboring grid points in each respective dimension.’

It does not appear to be the same as 'cubic'. According to the documentation, 'cubic' is currently the same as 'pchip'.

MATLAB: Time Normalisation of vertical ground reaction force

This is a job for interp1:

Signal     = rand(1, 1000);  % Test data
HeelStrike = 72;
ToeOff     = 413;
Contact    = Signal(HeelStrike:ToeOff);
ConatctN   = interp1(1:numel(Contact), Contact, linspace(1, numel(Contact), 101));

Now the ground contact phase is normalized to 101.

If this is a bottleneck in your code, use FEX: ScaleTime:

ContactN = ScaleTime(Signal, HeelStrike, ToeOff, 101);

Best Answer

Related Solutions

MATLAB: Interpolation method (spline)

MATLAB: Time Normalisation of vertical ground reaction force

Related Question