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I used xcorr function in Matlab to compute the autocorrelation of my signal. I obtained a graph, which is shown below. How to interpret this? I read that autocorrelation helps in finding the patterns in the data. And i have went through some of the properties of the auto-correlation.

But i am finding difficulty in obtaining information regarding how my input data is correlated with itself. Do i need to compute any other things in order to get this information? How to understand the autocorrelation graph?enter image description here

enter image description here

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  • $\begingroup$ Can you provide a zoomed-in plot of the two large peaks, around t=1.4? $\endgroup$ – MBaz Mar 5 at 2:15
  • $\begingroup$ Yes. I attached it with the question. Please have a look. $\endgroup$ – Ramakrishna Mar 5 at 2:44
  • $\begingroup$ What kind of signal are you analyzing? What "patterns" are you looking for? The autocorrelation basically indicates how similar a signal is to a shifted version of itself... $\endgroup$ – applesoup Mar 5 at 11:02
  • $\begingroup$ I am trying to analyze the noise coming from the table fan. I observed that it is almost a periodic signal. Above one is autocorrelation result of that. I wanted to know what does autocorrelation indicates in case of this signal. $\endgroup$ – Ramakrishna Mar 5 at 15:08

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