Calculating similarity between two signal plots

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?

Cross-correlation is a measure of similarity between two signals. It works by sliding one signal across another and finding the optimal 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.