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Algorithm 4: Simplified implementation of ART.
A simplified implementation of the proposed algorithm has been provided, which significantly reduced the algorithm complexity.
In addition, a simplified implementation of the proposed algorithm has been provided, which significantly reduced the complexity.
Furthermore, a simplified implementation of the algorithm is proposed to reduce the complexity, and a brief complexity evaluation is provided.
It is shown that the simplified implementation of the algorithm has complexity of O ( N ( K + 1 ) ), which considerably low comparing to existing algorithms.
These films may be comprehended as a simplified implementation of mixed molecular films that are essential during the build-up of adhesion in painting or adhesive systems.
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Sigma-Point Kalman Filters have the major improvement of simplified implementation compared to local linearization methods (i.e. Extended Kalman Filter) because no analytical Jacobians are required.
For the simplified implementation, we can take advantage of the correlation between the different messages transmitted from a certain node.
In order to show the enormous potential of this approach, a simplified implementation is applied to a case study.
The simplified implementation matches within 2percentt in all cases, with the additional benefit of including intermodal coupling.
Even though our simplified implementation does not perform as good as the original algorithm, it is already comparable with the state-of-art systems.
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