Autocorrelation Function Question

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SUMMARY

The discussion centers on the autocorrelation function, specifically its ability to reveal similarities between a function and its delayed version. David inquires about the practical interpretation of autocorrelation using the example function x(t) = Asinc(2Wt) and its autocorrelation R_x(τ) = (A²/2W)sinc(2Wτ). A participant clarifies that autocorrelation is a specific case of cross-correlation, emphasizing that it measures how correlated a function is with itself as it shifts over time. Visualizing the correlation process through a physical demonstration with paper slips illustrates how the correlation peaks at zero lag and diminishes with increasing lag.

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frenzal_dude
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Hi, we're learning about the autocorrelation function at uni, and I know it's meant to show similarities between a function and a delayed version of that function. But how does the autocorrelation show these similarities?

For example, if[tex]x(t)=Asinc(2Wt)[/tex] then [tex]R_x(\tau )=\frac{A^2}{2W}sinc(2W\tau)[/tex]

How can you look at the resulting function and see what the similarities are?

Thanks for the help guys.
David
 
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The cross-correlation doesn't tell "similarities" so much as how correlated two functions are as they slide past each other. Autocorrelation is just cross-correlation where the functions are one and the same. To see why the autocorrelation of a sinc is another sinc, draw the function onto two slips of paper and visually perform the cross-correlation (multiply point by point and integrate) as you slide them past each other. At zero lag (offset) they line up and the correlation is one. As they slide apart, the amplitude falls, then goes negative when the big peak lines up with the first negative lobe. At large lag there's not much correlation (where one is big the other is small).
 

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