On Oct 14, 12:13 am, Paul Rubin <http://phr...@nospam.invalid> wrote: > Janto Dreijer <jan...@gmail.com> writes: > > Well, I don't have a lot of theoretical reasoning behind wanting to > > use a median filter. I have some experience applying it to images with > > very good results, so that was the first thing I tried. It felt right > > at the time and the results looked good. > > If this is image data, which typically would have fairly low > resolution per pixel (say 8-12 bits), then maybe you could just use > bins to count how many times each value occurs in a window. That > would let you find the median of a window fairly quickly, and then > update it with each new sample by remembering the number of samples > above and below the current median, etc.
Thanks, unfortunately it's not image data. It's electrocardiogram sequences. So it's sequences of floats. Janto -- http://mail.python.org/mailman/listinfo/python-list
