Autocorrelation of two dirac pulses

1. How is autocorrelation calculated?
2. What is autocorrelation in DSP?
3. What does autocorrelation tell you?
4. What is lag in autocorrelation?

How is autocorrelation calculated?

The number of autocorrelations calculated is equal to the effective length of the time series divided by 2, where the effective length of a time series is the number of data points in the series without the pre-data gaps. The number of autocorrelations calculated ranges between a minimum of 2 and a maximum of 400.

What is autocorrelation in DSP?

Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function of delay. Informally, it is the similarity between observations of a random variable as a function of the time lag between them.

What does autocorrelation tell you?

Autocorrelation represents the degree of similarity between a given time series and a lagged version of itself over successive time intervals. Autocorrelation measures the relationship between a variable's current value and its past values.

What is lag in autocorrelation?

This value of k is the time gap being considered and is called the lag. A lag 1 autocorrelation (i.e., k = 1 in the above) is the correlation between values that are one time period apart. More generally, a lag k autocorrelation is the correlation between values that are k time periods apart.