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This situation leads to overlapping block-wise estimates.
Voxel-wise estimates are used to perform tractography in a whole, fixed human brain.
Increasingly, more detailed pixel-wise estimates of forest biophysical parameters are needed for such endeavors.
Through inter-block trace TFPF and block-wise estimates, (hat{Y}_{x}) have been obtained.
We apply these inequalities to obtain point-wise estimates on the associated heat kernel, improving upon earlier results.
In this section, we establish some point-wise estimates of the rate of convergence of the operators B n, q.
To achieve the global estimate (hat{Y}), we place block-wise estimates back to original location and propose a computing method: hat{Y} = frac{{sumlimits_{{Y_{R} }} {sumlimits_{{Z_{R} }} {hat{Y}_{x} (a,b)} } }}{c} (12 where a and b are coordinates of point in the obtained block-wise estimates.
Since the FTD and CFO values are relatively slowly changing in most wireless communication scenarios, it is always possible to refine the estimates by filtering them over multiple transmission bursts to reduce the random variations of block-wise estimates.
In normal tracking mode, with continuous flow of data packets, only small CFO and FTD values are expected, and it is enough to use only the estimation algorithms in conjunction with basic time domain compensation methods and some filtering to reduce the random variations of block-wise estimates.
FSTAT 2.9.3.2 (http://www2.unil.ch/popgen/softwares/fstat.htm) was used to evaluate population relatedness using pair-wise estimates of FST.
Pair-wise estimates of genetic distance among populations within the species were calculated using ΦPT, the proportion of variance among populations relative to total variance.
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