3.CORELATION
In this experiment, we performed auto-correlation and cross-correlation. Apart from this we also used Carl Pearson Correlation Coefficient calculation using the provided formula and using FFT for the same. In the broadest sense correlation is any statistical association, though in common usage it most often refers to how close two variables are to having Correlations are useful because they can indicate a predictive relationship that can be exploited in practice.
In this experiment, we performed auto-correlation and cross-correlation. Apart from this we also used Carl Pearson Correlation Coefficient calculation using the provided formula and using FFT for the same. In the broadest sense correlation is any statistical association, though in common usage it most often refers to how close two variables are to having Correlations are useful because they can indicate a predictive relationship that can be exploited in practice.
Nicely written
ReplyDeleteorrelation is widely used for speech recognition, image processing.
ReplyDeleteWhat are applications?
ReplyDelete