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However, we do still consider all possible subsets of those users, and all possible orders of those users for SZF, to find the ordered selection that gives the maximum sum rate.
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Variable selection was performed through the correlation coefficients followed by the ordered predictor selection (OPS) algorithm.
If P is unknown, it can be selected using some model order selection criterion [38].
It is different from model order selection criteria in the sense that the selected non-zero AR coefficients do not necessarily have to be consecutive.
This increase in genetic variability can be selected for during adaptation via second-order selection [41] and can result in an improved adaptability of the transduced bacteria [42].
To do so, we will select the L most relevant signatures using model order selection techniques [30].
Order selection and chip gaps are described more fully in Section 8.2.1.
In addition, the model order selection is achieved by the optimization scheme.
We conclude with a suggestion for an agent architecture that tackles Web-based order selection problems.
The identification scheme is extended with a proposed algorithm for the model order selection.
Secondly, the model reduction performed in the available subspace identification is removed by a proper order selection procedure.
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