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The systems employing an SB detector typically show lower computational complexities with respect to the corresponding architecture employing an BB detecting scheme.
Table 2 shows the per-symbol normalized complexities (with respect to the complexity of CP-OFDM) of various approaches for N = 60 and 300.
The new algorithms solve a more general problem variant and obtain better time complexities with respect to previous algorithms.
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Computing testors for feature selection is a very complex problem due to exponential complexity, with respect to the number of features, of algorithms based on testor theory.
We show also that our approaches reduce dramatically the complexity with respect to the optimal search.
We generated a second group of datasets, characterized by an increasing complexity with respect to TS/1.
Table 2 Normalized complexity (with respect to CP-OFDM) for N = 60 and 300.
The second cornerstone is set by the intelligent visualization of the structural complexity with respect to organizational and communication aspects.
Signaling overhead and numerical complexity, with respect to the distributed sensors and the fusion center, are summarized in Table 1.
In particular, we address the question of computational complexity with respect to the number of augmentation steps.
Additionally, the decision-making problem for multi-state multi-element systems has exponential time complexity with respect to the number of system elements.
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