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 <[email protected]> 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. > > > > > > _______________________________________________ > time-nuts mailing list -- [email protected] > To unsubscribe, go to > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > and follow the instructions there. _______________________________________________ time-nuts mailing list -- [email protected] To unsubscribe, go to http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com and follow the instructions there.
