The best way to collect the data of sensors over a long period of time to study the behavior of the sensors as to which sensor leads/lags during time transitions?

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I have tons of data(in the form of matfiles) where I'm trying to study the behavior of two data output value (Values are Day = 1; Night = 2)for (sensors a; sensor b). Each signal is capable of detecting the transitions from day to night and night to day. I want to capture the transition of time from "day to night" and "night to day" for the two sensor and compare the two to see which sensor lead/lags at transitioning times. I will use "sensor a" as the base sensor. I want to store the results in a way to see these transitions and at the times they are happening. I looked at timesseries and adding events of the transitions. Any suggestions?

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dpb
dpb 2018-4-13
If have Signal Processing TB, sounds like job for finddelay
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