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Like the HNN MLSE equalizer, its superior complexity characteristics are due to the high parallelism of its underlying neural network structure.
The superior complexity of the proposed equalizer allows it to equalize signals with hundreds of memory elements at a fraction of the computational cost of conventional optimal equalizer, which has complexity linear in the data block length but exponential in die channel memory length.
The complexity of Step (9) is negligible as its of order O(L P ), L P < < L T. Thus the overall time complexity for the search procedure: A comparison of complexities of various search algorithms are given in Table 2. > -wrap-foot> As can be seen from the table, the proposed method has superior complexity as compared to most existing methods.
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It case only thasranks of the homology superiorre of interest, the computationalomology algorithm complexitylied [14].
The superior computational complexity of the HNN MLSE equalizer is obvious.
Its superior computational complexity is due to the high parallelism of its underlying neural network structure.
MLMC can be shown to result in asymptotically superior computational complexity and reduced computational cost when compared to the Standard Monte Carlo (StMC) method, which is currently used in atmospheric dispersion modelling.
Lastly, with real data from the Drosophila gene Dscam, we demonstrate the superior time complexity of using a factorized splice graph-based method.
The robust anti-noise performance, faster learning speed, lesser computational complexity, superior classification accuracy and short event detection time prove that the proposed VMD-WOSELM method can be implemented in electrical power systems.
Other themes include: Natural simplicity as superior to technological complexity.
The TARMA 4, 5 p=3model also attains lower parametric complexity and superior values of the model fit criteria.
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