Sentence examples for mixture correlograms are from inspiring English sources

Theoretical aspects of mixture correlograms are also considered.

First, color correlograms are computed for a set of non-overlapping blocks of the images (original and distorted); then, from each correlogram, statistical features that summarize the changes in the structure of the block are extracted.

In the proposed system, conventional correlograms are further processed by replacing the autocorrelation function (ACF) with DHF.

Average (over all loci) correlograms are presented to avoid variation in correlogram profiles based on the frequencies of individual alleles that are subject to stochastic processes.

Partial correlogram graphs and correlograms were used to select the order of moving average (MA) and autoregressive (AR) terms in the model.

Variograms and correlograms were used to identify metal spatial patterns and appropriate sampling distances.

Empirical correlograms were fitted using a 2D exponential distribution to yield the 3 key parameters of the correlogram: the range, the anisotropy ratio and the direction of the major axis.

For this, only the major processes in each stage are compared like correlogram, segmentation, pitch estimation… The complexity of computing correlograms is O (CLlogW), where W is the time frame.

Mantel correlograms were generated using package ecodist in R [55].

Correlograms were based on the Moran's I autocorrelation measure, and calculated using the program PA [35].

All correlograms were globally significant.