Autocorrelation function of awgn is described by
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Autocorrelation function of awgn is described by Box, Jenkins, & Reinsel in 1994.
Explanation:
- The autocorrelation function (ACF) tells how data points in a time series are related, on average, to the preceding data points.
- It is also known as serial correlation in the discrete time case, it is the correlation of a signal having a delayed copy of itself as a function of delay.
- In simple words, it calculates or measures the self-similarity of the signal over different delay times.
- This function exhibits the harmonic structure of musical tones.
- It is described by Box, Jenkins, & Reinsel in 1994.
- The autocorrelation function of a white noise signal is the Dirac delta distribution.
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