.AdvancedNoise.Interpolators.SmoothIdealLowPass.interpolate

Information

Syntax

y = SmoothIdealLowPass.interpolate(buffer,offset);

Description

Interpolate in buffer by using the sinc function. This is an approximation of an ideal low pass filter that completely blocks frequencies above the cut-off frequency f = 1/T (where T is the sample period with which the buffer was filled). Input argument offset is a Real number marking the point at which interpolation shall take place. offset=0 is the first buffer value buffer[1]. offset=size(buffer,1)-1 is the last buffer value buffer[size(buffer,1)]. It is required that 0 ≤ offset < size(buffer,1)-1. The function returns the interpolated value. The interpolation is continuous with a continuous first derivative. In order to avoid issues at the end of the buffer (where a minimally too large offset value triggers an assert), it is best to make the buffer one element larger as needed. For example, if the buffer is filled with a sample period of 1 ms and every 100 samples an event occurs, then the buffer should have length 102 for the samples 0 ms, 1 ms, 2 ms, ...., 100 ms, 101 ms.

Revisions

Date	Description
Sep. 4, 2015	Initial version implemented by A. Klöckner, F. v.d. Linden, D. Zimmer, M. Otter. DLR Institute of System Dynamics and Control