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Recently, it has been shown that the concept of spatial co-occurrence matrix could be generalized by assuming texture joint information between spectral bands [17, 32].
For general n-cell cases, the optimality of the SGINR-based cooperative beamforming has not been proved, but the main idea can be generalized by assuming high signal-to-interference-plus-noise ratio (SINR) at all links [16].
The method, however, can easily be generalized by assuming that the minimum expression value within a profile indicates the knockout experiment.
Therefore, (1) can be generalized by assuming a set of r > 1 dimensions: (2)Y ij = α + β jX j + β j1X ij1 +... + β jk X ijk +... + β jrX ijr + ε ij By entering parametric regressors in the fMRI design, the proportion of variance which can be accounted for by the variation within conditions is separated from the residual error ε ij.
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The original OSD algorithm was generalized by assuming segmentation of the MRIPs.
The original ordered-statistics decoding (OSD) is generalized by assuming segmentation of the most reliable independent positions (MRIPs) of the received bits.
The decay result of Santos [9] was generalized by Messaoudi and Soufyane [13] without assuming the exponential (polynomial) decay of k.
The linking approach can be further generalized by assuming that the two instruments measure two different, yet correlated latent variables.
The dilemma was generalized by William Rowe (1975).
These notions were generalized by Karapınar and Samet [2].
The results were generalized by Yang et al. [3].
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