[Scilab-users] "Smoothing" very localised discontinuities in (scilab: to exclusive) (scilab: to exclusive) curves.

[scilab.20.browseruk at xoxy.net]

Serge,

> 
> If your data are regulary sampled along the y axis you can use the

The X-axis is the controlled variable, the Y-axis the dependent.

However, (from my understanding which is sketchy), the software controlling the input has a feedback loop and attempts to adjust the rate and spacing of the input to provide good data around the fine detail of the slope; so the input isn't necessarily exactly linear, though if you inspect the output closely, it seems to have a linear step size.

Indeed. I suspect that the discontinuities I'm seeing are a result of the control software back-stepping around certain positions to correct for detected 'external influences' (such as eddy current build-up or induction lag). It is this hypothesis that I am going to try to get conformed by the equipment manufacturer.

> sgolay filter
> (http://en.wikipedia.org/wiki/Savitzky%E2%80%93Golay_filter">http://en.wikipedia.org/wiki/Savitzky-Golay_filter)otherwise
> the loess regression
> (http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-nonparametric-regression.pdf)

That pdf does not seem to be available to me? (The requested URL was not found on this server)

> may be tried .
> 
> Both methods and others  like medianfilter , sdfilter, ... are available
> in the CWA scilab module...

'scuse my ignorance of these things; but it the "CWA scilab module" available as an ATOM? (If so, in which category?)

Or should I be looking somewhere else?

> 
> Serge Steer

Cheers, Buk.

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