A simple question as the title indicates:
Let us assume that we have two signals, measured from two different sensors that are close together. (For this application, the sensors are measuring blood/biological activity at different positions on an animal body).
I am wondering when, (if at all), measuring the rising edges of both signals might offer a better estimate of their relative time delays, VS doing a simple cross-correlation?
When might we expect this to be true, if ever?
I ask because I would like to know if looking at rising edges may indeed be optimal in some sense, instead of it being something 'ad-hocy' and possibly mis-leading in lieu of cross-correlation.