In general, correlation describes the mutual relationship which exists between two or more things. The same definition holds good even in the case of 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.
So we performed this experiment on the PC in ubuntu and on CCS. The aim of this experiment was to find auto/cross correlation and use Karl Pearson formula. We took a 4 point sequence in this experiment .We observed that correlation is a Mathematical tool that compares two signals and tells about the degree of similarity between them. This concept can be used for measuring the similarity of signals especially for “pattern recognition “and for “signal detection".
You can use Correlation for signal correction too!
ReplyDeleteCross correlation uses at least 2 signals.
ReplyDeleteAliasing error is an interesting phenomena.
ReplyDeleteIf both x[n] and h[n] are causal then the resultant y[n] is also causal.
ReplyDeleteYou can do both auto as well cross co relation in this experiment.
ReplyDelete