Time-domain cross-correlation with padded signals [closed]

1. How do you find the cross-correlation of two signals?
2. What is cross-correlation in signals?
3. What is the expression of cross-correlation of energy signals?
4. How do you compare similarity between two signals?

How do you find the cross-correlation of two signals?

To detect a level of correlation between two signals we use cross-correlation. It is calculated simply by multiplying and summing two-time series together. In the following example, graphs A and B are cross-correlated but graph C is not correlated to either.

What is cross-correlation in signals?

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.

What is the expression of cross-correlation of energy signals?

In signal processing, cross-correlation Rf g is used to assess how similar two different signals f (t) and g(t) are. Rf g is found by multiplying one signal, f (t) say, with time-shifted values of the other g(t + τ), then summing up the products.

How do you compare similarity between two signals?

For measuring the similarity between two temporal signals, you can try using Dynamic Time Warping (DTW). DTW constructs a distance matrix between the two signals and tries to find minimum distance the two signals. If the two signals are identical, then distance is zero.