What algorithm can I use to compare two signals' similarity?

1. How do you measure similarity between two signals?
2. How do you know if two signals are correlated?
3. What is cross-correlation in signals and systems?

How do you measure similarity between two signals?

Dynamic time warping (DTW) is a popular, alternative method for measuring similarity between two signals in the time domain. It works by "warping" the x-axis between two signals to find the closest y-value match.

How do you know if two signals are correlated?

In words, we compute a correlation by multiplying two signals together and then summing the product. The result is a single number that indicates the similarity between the signals x[n] and y[n]. What values can C(x, y) take on, and what does this tell us about the signals x[n] and y[n]?

What is cross-correlation in signals and systems?

In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as a sliding dot product or sliding inner-product. It is commonly used for searching a long signal for a shorter, known feature.