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Aug 9, 2018 at 16:58 comment added Sextus Empiricus What do you mean by 'the motion'? How do you get to your observation of noise burst (how do you know that it is noise)? What pattern (that is being disturbed) should I see? What latest comment do you refer to(and what is KS-test?)?
Aug 9, 2018 at 16:00 comment added CodeLover @Martijn Weterings, the moving window method did not work well. I basically just suppressed the motion when it is not significantly different from the previous one. I considered noise burst more consistent based on observation whereas any other movement would disturb the pattern. Please see my latest comment as I adopted KS-test to improve the results.
Aug 9, 2018 at 15:47 comment added Sextus Empiricus "I defined a moving window of length 10 and whenever the standard deviation of the data within the window was smaller than some threshold, I suppressed it." I do not see how this works and why it is done. How does this filter out the peak at 68600 and how does this not filter the peak at 4560?
Aug 9, 2018 at 15:37 comment added Sextus Empiricus Optimization can be done by first using more of the prior information. Why do you regard the noise more 'consistent' in range? What model do you have behind this?
Aug 7, 2018 at 17:12 answer added Wrzlprmft timeline score: 0
Aug 7, 2018 at 11:01 history reopened gung - Reinstate Monica
S Aug 4, 2018 at 12:07 history suggested Wrzlprmft CC BY-SA 4.0
Trying to make the question understandable.
Aug 4, 2018 at 7:38 review Suggested edits
S Aug 4, 2018 at 12:07
Aug 3, 2018 at 21:08 history closed kjetil b halvorsen
Michael R. Chernick
gung - Reinstate Monica
Needs details or clarity
Aug 3, 2018 at 19:40 review Close votes
Aug 3, 2018 at 21:08
Aug 3, 2018 at 19:37 history edited CodeLover CC BY-SA 4.0
added 345 characters in body
Aug 3, 2018 at 18:50 review First posts
Aug 3, 2018 at 19:02
Aug 3, 2018 at 18:50 history asked CodeLover CC BY-SA 4.0