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[12] [13] [clarification needed] After calculating the cross-correlation between the two signals, the maximum (or minimum if the signals are negatively correlated) of the cross-correlation function indicates the point in time where the signals are best aligned; i.e., the time delay between the two signals is determined by the argument of the ...
A Barker code or Barker sequence is a finite sequence ... sequences are usually chosen for their spectral properties and for low cross correlation with other ...
The code for these "modified" Taylor diagrams was developed, and is available in, Python [13]. A further variant to account for the prediction bias is given by the so called 'solar diagram' (see, Wadoux et al., 2022 [ 18 ] ).
A Gold code, also known as Gold sequence, is a type of binary sequence, used in telecommunications [1] and satellite navigation . [2] Gold codes are named after Robert Gold. [ 3 ] [ 4 ] Gold codes have bounded small cross-correlations within a set, which is useful when multiple devices are broadcasting in the same frequency range.
In the analysis of data, a correlogram is a chart of correlation statistics. For example, in time series analysis, a plot of the sample autocorrelations versus (the time lags) is an autocorrelogram. If cross-correlation is plotted, the result is called a cross-correlogram.
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.
Intuitively, the Spearman correlation between two variables will be high when observations have a similar (or identical for a correlation of 1) rank (i.e. relative position label of the observations within the variable: 1st, 2nd, 3rd, etc.) between the two variables, and low when observations have a dissimilar (or fully opposed for a ...
A correlation function is a function that gives the statistical correlation between random variables, contingent on the spatial or temporal distance between those variables. [1] If one considers the correlation function between random variables representing the same quantity measured at two different points, then this is often referred to as an ...