In message <[email protected]>, Hal Murr
ay writes:

>For one dimension, you sort, compute the average, then compute the distance 
>of the first and last samples from the average.  Discard the one that is 
>farther from the average.

You want to use the median rather than the average, even if it involves
sorting your samples.  

>The problem with two dimensions is I don't know how to sort.

If the two noise-sources are orthogonal, you just do it on each
axis independently and alternately.

If they are not, things get more complicated.

In general I can highly recommend www.nr.com for stuff like this.

Poul-Henning

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