In these models, we used an updated version [22] of the mammalian phylogenetic supertree [23] to set up correlation structures (Fig. S1) and implemented correlation classes available in the R-library 'ape' [24].
To rule out the possibility of an isolated association being obtained by chance when multiple independent tests are implemented, correlation trends between texture and SUV were observed.
To implement the correlation-based feature subset selection, we use best-first search for the space of variable subsets.
Four tests for investigating linear and non-linear dependencies between variables are implemented: Pearson correlation, Spearman's rank, Distance correlation (Szekely and Rizzo, 2009) and the recently described Maximal Information Coefficient (MIC) (Reshef et al., 2011).
First, serial search acquisition implements the correlation procedure in the time domain and is very popular among application-specific integrated circuit (ASIC -based GPS receivers.
Other commonly used methods that we have implemented are correlation and overlap analysis.
Implementing relevant correlations, these codes are able to represent important phenomena such as two-phase flow, critical flow, and countercurrent flow.
We implemented the correlation-based module [Equation (4)] as the baseline for comparison.
Three options for the statistic to measure correlation are implemented: (i) Pearson's correlation; (ii) Spearman's rank correlation; and (iii) an 'extremes' t-test.
It makes collective use of the data constraints (pilots, cyclic prefix, the finite alphabet constraint, and space-time block coding) and channel constraints (finite delay spread, frequency and time correlation, and transmit and receive correlation) to implement an effective receiver.
