Howtosignalprocessing
- What is correlation between two signals?
- Why do we need a correlation between two signals?
- How do you calculate correlation between signals?
- How do you find the cross-correlation of two signals?
What is correlation between two signals?
Correlation of two signals is the convolution between one signal with the functional inverse version of the other signal. The resultant signal is called the cross-correlation of the two input signals. The amplitude of cross-correlation signal is a measure of how much the received signal resembles the target signal.
Why do we need a correlation between two signals?
That is, correlation between signals indicates the measure up to which the given signal resembles another signal. In other words, if we want to know how much similarity exists between the signals 1 and 2, then we need to find out the correlation of Signal 1 with respect to Signal 2 or vice versa.
How do you calculate correlation between signals?
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].
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.
