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

[Tim Wescott]

In the graph that you posted some time back (sorry, I haven't been
saving emails), it appears that the x-axis numbers are not increasing
monotonically.  This is what led me (and, apparently, others) to assume
that the y-axis is the controlled variable.

If the machine is, indeed, stepping backwards when it's unhappy,
couldn't you just snip out the earlier instance of the same x-axis
value, and reorder as necessary?  Would this make for happy data?

I agree that asking the machine manufacturer what's what is best at this
point.  It does seem odd that they're not snipping out the data they
determine is bad -- if you're really lucky they're doing an outstanding
job, and you just need to figure out how to ask the machine to suppress
the bad data before you get it.

On Mon, 2016-04-04 at 10:38 -0800, scilab.20.browseruk at xoxy.net wrote:
> 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.
> 
> ____________________________________________________________
> Can't remember your password? Do you need a strong and secure password?
> Use Password manager! It stores your passwords & protects your account.
> Check it out at http://mysecurelogon.com/password-manager
> 
> 
> 
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
> 
> 

-- 

Tim Wescott
www.wescottdesign.com
Control & Communications systems, circuit & software design.
Phone: 503.631.7815
Cell:  503.349.8432