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Secondly, a split network indicating the leakage energy reduction in each idle interval is constructed, and a min-cost flow-based algorithm is conducted to this network to evaluate the total leakage energy saving from power-gating FUs; operations are scheduled to the clock cycles and bound to FUs with a maximization of leakage energy saving.
Third, observability analysis of single beacon based localization algorithm is conducted in the context of nonlinear discrete time systems and a sufficient condition is derived.
The precedence of the proposed algorithm is conducted based on the confidence level that is decided by the complexity of pixel values in a block.
Based on the term association network, the algorithm is conducted to obtain hot topics by selecting the top-K terms as focal terms with related facet terms.
The GMSD algorithm is conducted in two phases.
The algorithm is conducted in three main stages.
Finally, the comparison of the two algorithm is conducted.
Analysis of stability and parameter convergence of the proposed algorithm are conducted based on algebraic graph theory and Lyapunov theory.
Stability analysis and parameter convergence of the proposed algorithm are conducted based on algebraic graph theory and Lyapunov theory.
Based on the provided experimental simulations, the comprehensive analysis on both the classical regularized orthogonal matching pursuit algorithm and our newly designed CS-CS algorithm are conducted.
All algorithms are conducted by C language and R language.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com