Imagine there are 100 recordings of the same signal or pattern, but those recordings are not properly aligned with each other in time. In other words, each sample has some unknown time delay in relation to each of its sister samples. The data might look something like this:
The question is: What's the best method for computing the relative time-delays of those signals so that I might align them?
If there were only two signals, computing time-delay would be simple. The best method I'm aware of is to maximize the cross-correlation between the two samples across different delay values.
But what about computing a large set of delays? I'm sure there has to be a robust method for this general task... I just don't know what it's called. Thanks!