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a_correlate2d.pro
This function computes the autocorrelation Px(K,L) or autocovariance Rx(K,L) of a sample population X[nx,ny] as a function of the lag (K,L).
a_timecorrelate.pro
Same function as A_CORRELATE but accept array (until 4 dimension) for input and do the autocorrelation or the autocovariance along the time dimension which must be the last one of the input array.
c_timecorrelate.pro
This function computes the "time cross correlation" Pxy(L) or the "time cross covariance" between 2 arrays (this is some kind of c_correlate but for multidimenstionals arrays) as a function of the lag (L).
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