Sentence examples for local decision thresholds from inspiring English sources

Local decision thresholds: {0 dB, 1 dB, 2 dB}.

Local detector design is demonstrated in examples, using genetic algorithm search for local decision thresholds.

In other words, the proposed simplified detection strategy is robust against local decision threshold mismatches.

Each SN computes its binary local decision, I(x i )={0,1}, by comparing the collected data with a local decision threshold τ, i.e., I(mathbf{x}_{i}) =left{ begin{array}{ll} 1, & s(mathbf{x}_{i}) geq tau 0, & s(mathbf{x}_{i}) < tau end{array}right.. (5).

Type IV shows the effect of deferring to local decision makers and locally determined closure thresholds.

For a selected set of decision thresholds, the local substructure approach correctly predicts 51% of the annotations, and at least one annotation for 56% of the proteins, with 37% of the predictions being correct (i.e., precision).

Guidelines on selecting the optimal local sensor level decision threshold are also provided.

To achieve a better system level detection performance, the local sensor level decision threshold should be designed optimally.

The NICE threshold may be adopted by local decision makers, in the absence of a local threshold although in practice there appears to be wide variation in local spending decisions [ 14].

Nasipuri and Li [24] propose a hard-decision process in which the decisions are performed by comparing the number of positive local decisions against a threshold (e.g., it results in the OR-rule if the threshold is equal to one).

In this paper, we assume that all the local sensors have the same false alarm rate, that is, they have the same local threshold to make a local decision (Eqs. (21) and (22)).