Howtosignalprocessing
- How do you calculate the correlation between two signals?
- Why do we need a correlation between two signals?
- What are the applications of correlation in signals?
- How are signals and systems correlated?
How do you calculate the correlation between two 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].
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.
What are the applications of correlation in signals?
It is used in Radars, digital communication and mobile communication etc. The main application of correlation is that the incoming/received signal is correlated with the standard signals and a signal of this set which has maximum correlation with the incoming/received signal is only detected.
How are signals and systems correlated?
The cross-correlation between two different signals indicates the degree of relatedness between one signal and the time-delayed version of another signal. The cross-correlation of energy (or aperiodic) signals and power (or periodic) signals is defined separately.
