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From: Emanuel Berg <embe8573@student.uu.se>
Newsgroups: comp.lang.ada
Subject: how to analyze clock drift
Date: Tue, 18 Nov 2014 23:12:04 +0100
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Date: 2014-11-18T23:12:04+01:00
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I have a long list of samples of clock readings. It
"should" be periodical, by 1 ms, but of course it
isn't. The data is in nanoseconds.

Anyone knows how I can apply some math/stat method to
find out the average drift, and/or if the drift will
average out, or just about any conclusions you can get
out of the material?

Also, do you know of any rule-of-thumb how many
readings I will need to make it "good science"? I will
of course tell how many readings were used in the
examination, but what would you say is a good
benchmark were patterns will (almost foolproof) be
visible?

If you know of some tool that'd be great, or some
formula, I'll just write a shell function, all such
things are appreciated, or if you just want to share
your knowledge.

The file with the readings looks like this:

85033101286784
85033108461718
85033109544537
85033110621490
85033111714366
85033112794112
85033113871903
85033114934049
85033116009605
85033117089909
85033118169656
85033119256945
85033120336411
85033121409174

and so on.

Hope to hear from you Ada real-time experts :)

-- 
underground experts united