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Thanks for the tips and reference. I'll give that a slow read. <br>
<br>
-Pete<br>
<br>
<br>
<div class="moz-cite-prefix">On 10/26/2015 12:25 PM, David Landry
wrote:<br>
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<blockquote
cite="mid:CABQsoBP5owmVeaDfp9nhMBpn61kf7RPzmHvtJGNeGJsmKG7y8w@mail.gmail.com"
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<div class="gmail_quote">On Sun, Oct 25, 2015 at 9:19 PM, Pete
Soper via TriEmbed <span dir="ltr"><<a
moz-do-not-send="true"
href="mailto:triembed@triembed.org" target="_blank">triembed@triembed.org</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF"> These are the bread
crumbs I was after, thanks. Sensor data capture needs to
be interrupt driven if possible to optimize power
consumption.</div>
</blockquote>
<div><br>
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<div>Something that might help is to separate out the
mechanics of your implementation (e.g. interrupts and
power saving concerns) from what you're doing with the
measurements to trigger a detection (e.g. Kalman filter).</div>
<div><br>
</div>
<div>The mathematical descriptions are going to be as
general as possible. If you figure out how to generalize
what you're trying to do, it might be easier to see what
stuff in the literature is useful for your application.</div>
<div><br>
</div>
<div>At it's most general, signal detection theory [1]
describes detection systems (is there something to
detect, and did you detect it).</div>
<div><br>
</div>
<div>Two other DSP breadcrumbs that might be useful:<br>
</div>
<div>
<ul>
<li>Matched filter</li>
<li>Adaptive filter</li>
</ul>
</div>
<div><br>
</div>
<div>[1] This link looks like it might be useful: <a
moz-do-not-send="true"
href="http://www.cns.nyu.edu/%7Edavid/handouts/sdt/sdt.html">http://www.cns.nyu.edu/~david/handouts/sdt/sdt.html</a></div>
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