[time-nuts] Long Wave Radio-Frequency standard testing

[Michael Wouters]

Hello Gilles

There's a reasonable way of treating data with gaps in it:

https://iopscience.iop.org/article/10.1088/0026-1394/45/6/S19

Essentially, any averaging interval with missing data is dropped from
the ADEV summation.
This reduces the number of intervals averaged over and increases the
uncertainty but is better than faking data.

Stable32 provides an  implementation of the algorithm. See p18 of the manual.

Cheers
Michael




On Tue, Jan 19, 2021 at 6:18 PM Gilles Clement <clemgill at gmail.com> wrote:
>
> Hi,
> Yes outliers removal creates gap in Stable32.
> The « fill »  function can fills gaps with interpolated values.
> It does not change much the graphs, except in the low Tau area (see attached).
> Do you know a discussion of impact of outliers removal ?
> Gilles.
>
>
>
> > Le 18 janv. 2021 à 22:06, Bob kb8tq <kb8tq at n1k.org> a écrit :
> >
> > Hi
> >
> > As you throw away samples that are far off the mean, you reduce the sample
> > rate ( or at least create gaps in the record). Dealing with that could be difficult.
> >
> > Bob
> >
> >> On Jan 18, 2021, at 1:33 PM, Gilles Clement <clemgill at gmail.com> wrote:
> >>
> >>> Hi
> >>>
> >>> Very cool !!!
> >>>
> >>> The red trace is obviously the one to focus on. Some sort of digital loop that
> >>> only operates under the “known good” conditions would seem to make sense.
> >>>
> >>> Thanks for sharing
> >>>
> >>> Bob
> >>
> >> Hi,
> >> I tried something with the idea to consider night records fluctuations as « outliers » as compared to day records.
> >> Indeed the 3 days record mean value is flat and the histogram quite gaussian.
> >> So I processed the 3 days record (green trace) with Stable32’s « Check Function »,
> >> while removing outliers with decreasing values of the Sigma Factor. The graph below shows the outcome.
> >> The graph with Sigma=0.8 (blue trace) connects rather well with the 1Day record (red trace).
> >> Would this be a workable approach ?
> >> Best,
> >> Gilles.
> >>
> >>
> >>
> >>
> >>
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