- How do you find cross-correlation between two signals?
- What is cross-correlation in signals?
- Does cross-correlation use FFT?
How do you find cross-correlation between 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.
Does cross-correlation use FFT?
The calculation of the cross-correlation function using FFT is a well-known method for measuring correlation and time delay or shift between 1D and 2D signals in fields such as audio and image analysis.