[time-nuts] Long Wave Radio-Frequency standard testing
Bob kb8tq
kb8tq at n1k.org
Mon Jan 18 21:06:10 UTC 2021
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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