reducing timeseries dataset for later on linear interpolation

[David Chèze]

hi,

I would like to reduce a regularly sampled timeseries [t, y(t)] dataset by
applying a transformation that is something like a reverse interpolation,
reducing the number of points when there's no variation of y(t) : in the
end, the data will be linearly interpolated in another scilab program. I
guess that it deals with derivate and sampling of the signal but I'm not
skilled in these topics and i would like to know if there's already an
efficient function implemented in scilab to do that.

Thanks for your help,

David

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