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Autocorrelation, sometimes known as serial correlation in the discrete time case, measures the correlation of a signal with a delayed copy of itself. Essentially, it quantifies the similarity between observations of a random variable at different points in its domain (commonly, time). The analysis of autocorrelation is a mathematical tool for identifying…
Applications, Regression analysis & Autocorrelation of stochastic processes
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displaystyle function signal time used tau process operatorname random data right mean correlation left xx overline sample series autocorrelations sum
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Autocorrelation | is a | mathematical tool for identifying repeating patterns or hidden periodicities within a signal obscured by noise | 0.90 | text |
| Autocorrelation | is a | even function R f f | 0.90 | text |
| Autocorrelation | is a | specific type of cross-correlation | 0.90 | text |
| Autocorrelation | is a | Durbin | 0.90 | text |
| Autocorrelation | is a | measurement of optical spectra and the measurement of very-short-duration light pulses produced by lasers | 0.90 | text |
| Autocorrelation | has application | Autocorrelation's | 0.60 | section |
| Autocorrelation | has application | Another | 0.60 | section |
| Autocorrelation | has application | From | 0.60 | section |
| Autocorrelation | has application | Utilized | 0.60 | section |
| Autocorrelation | has application | GPS | 0.60 | section |
| Autocorrelation | has application | This | 0.60 | section |
| Autocorrelation | has application | C/A | 0.60 | section |
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