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From: | Peter L. Soendergaard |
Subject: | Re: sequence segmentation |
Date: | Wed, 10 Jul 2013 10:44:15 +0200 |
User-agent: | Mozilla/5.0 (X11; Linux x86_64; rv:17.0) Gecko/20130110 Thunderbird/17.0.2 |
Hi Pascal, On 07/09/2013 08:36 PM, CdeMills wrote:
I don't have a solution, but perhaps a way of making it easier: Have you tried preprocessing your data through a transform that enhances the spikes and reduces the noise? A simple wavelet transform might improve the "contrast".Hello, I have an acquisition sequence which can be described as an initial transient, followed by segments with different noise level. Moreover, isolated spikes are also present. I tried automatic segmenting. It can be seen as a classification according to the density of points whose distance to the median value is higher to some threshold. But it is not easy to decide wheter or not a point is a simple isolated outlier or belongs to a group of points where the local noise is greater than expected. Any idea or pointer to algorithm ? Any octave toolbox to perform such segmenting ?
LTFAT can do it, it is not yet available as an Octave package (we are currectly changing some interfaces), but you can download it from Sourceforge. Just use something like "fwt(insig,'db4',8)" and try segmenting on the output.
Cheers, Peter.
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