Divide time series into regions
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Manolis Michailidis
el 1 de Oct. de 2015
Comentada: Manolis Michailidis
el 6 de Nov. de 2017
Hello, i have a graph with rapidly changes and i need to divide it into regions like are shown in the picture
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/149619/image.png)
I can divide it considered the amplitude of each regions but that's not so appropreate because i have also big dicreases like in region B that reaches the previous region, and that's something that troubles me. I thought maybe i could use standard deviation between local peaks and local minima. What are youur thoughts and do you know any other simple (or not so) methods ? Thanks in advance. Note that this graph sould be divided unsmoothed , and then only each region will be processed.
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Star Strider
el 1 de Oct. de 2015
I don’t have your data so I can only describe an approach. I would use a low-pass filter with a very low frequency passband to isolate the d-c offset for each section. (Ideally, you should get a series of ‘steps’ as the output.) Then use those values to define the different regions. You will probably have to devise a way to deal with the transitions between the steps to define them correctly.
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Ashim
el 4 de Nov. de 2017
You can also use alternatively the findchangepts() command from Matlab to find the different regions> here again, there are multiple options based on std dev or mean, or rms, or threshold. Try it out
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