[TriEmbed] Name these algorithms

[Justis Peters]

Pete, the examples you give are all univariate timeseries. I think the
solution will be really easy, but I want to better understand your goals.
Is it enough to use a Z-score against a rolling window? You seem to be
optimizing for something operational here, since you're thinking in terms
of interrupts. What are you trying to optimize?

Kind regards,
Justis

On Sat, Oct 24, 2015 at 5:49 PM, Pete Soper via TriEmbed <
triembed at triembed.org> wrote:

> Say I have a sensor for which a measured baseline signal can be used as a
> steady state but some predefined deviation greater than a given amount can
> can be defined "interesting" by virtue of an interrupt. With the interrupt
> can come a sequence of samples (either polled or by reusing the same or
> different deviation for an interrupt) before the sensor reading changes are
> declared ended, returning to the old or a new normal baseline level, and
> the process is set up to be repeated. Meanwhile, between interrupts and
> sample capturing tasks, a set of samples is compared with previously
> defined "signatures" to confirm that a set of samples is "complete" and a
> <something> has or has not been detected. I realize that in many cases
> there has to be a "moving window" to do with matching up samples and
> signatures: I'm just
>
> I'm looking for the math taxonomy to do with this for making filters and
> pattern matchers, but also practical examples that express specific
> calculations for use cases.
>
> Example: A photodetector w a programmable comparator that triggers an mcu
> interrupt when a light level is above or below threshold, and arrangements
> for detecting these "signatures":
>  . The moon obscured momentarily by a cloud
>  . A passing car's headlights
>  . Dawn
>  . A cigarette lighter lighting a cigarette
>  . A cigarette lighter used in "music concert style"
>  . Lightning
>
> I guess the ideal would be a few Wikipedia references to help me begin my
> education, but some practical examples that allow correlating the math with
> code that implements the math would be much appreciated.
>
> Thanks,
> Pete
>
>
>
>
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