Considering the data is received from a streaming source each second.How to distinguish if both the line graphs 'look' same/different in real time, statically, like the picture given below enter image description here

1.Not sure if there is something as real-time periodic correlation mechanism then cross-correlation would perhaps be an ideal solution ?
2. Comparing slope of the two Line is the last option I would go with. 3. If statistically there is no way to solve this then I would look at machine learning to solve this


I am unsure on how to do this statistically apart from using the slope. However, there are some interesting ways to think about time series in a given time period to find similarity. You could do as follows:

  1. Use the characteristics of the signal in a given time window and construct an n dimensional vector.
  2. You could use similarity measures or distance measures like cosine, manhattan etc to evaluate the similarity between them.
  • $\begingroup$ even with slope methods ,considering both the signals donot rise or fall by equal slopes , how to detect if they are similar? $\endgroup$ – Rai Bose Nov 15 '18 at 18:47
  • $\begingroup$ I am not quite sure, maybe finding the average of the slope and comparing helps. Here is how you could find the average of the slope : searchink.atlassian.net/wiki/spaces/PROJ/pages/282329252/… I still think finding a vector representation and using other metrics/measures will help you evaluate this better. $\endgroup$ – Nischal Hp Nov 15 '18 at 18:58

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