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While much effort has been focused on improving the hardware architecture of self-reconfigurable batteries, energy equalization algorithms have not been systematically optimized in terms of maximizing the efficiency of the balancing system.
In all figures, fair comparison among the presented schemes is ensured via training energy equalization.
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Other proposed cuts include $250 million intended to cover increased energy costs, $40 million for equalization of financing between urban and rural districts and $50 million for staff performance awards tied to academic improvement.
Since the findings in these papers show that the unit energy constrained channel shortener equalization resulted in better performance, we have used unit energy constraint for the MIMO channel shortening optimization problem under consideration in this paper.
During the 2008 Canadian Federal election, Williams hit out at incumbent Prime Minister Stephen Harper and the federal administration for reneging on a 2006 election pledge to exclude non-renewable energy sources from the equalization formula.
The most important is the genetic algorithm optimization for battery equalization to improve the energy efficiency and time efficiency of the equalization system.
Under the stochastic theory framework, a robust design method for the FIR equalizer is proposed such that the equalization system can achieve the prescribed energy-to-peak performance even it is subject to uncertainties, external noise, and data missing.
In summary, based on instrumental measures, it can be said that PMINT using the optimal intrusively determined reshaping filter length (L^{text {opt}}_{g}) is a robust and perceptually advantageous equalization technique, yielding a high reverberant energy suppression and outperforming all other considered equalization techniques in terms of perceptual speech quality.
In addition, it is demonstrated that PMINT using the optimal intrusively determined reshaping filter length outperforms the other considered equalization techniques, yielding a larger reverberant energy suppression and perceptual speech quality improvement.
In designing the decision feedback equalizer, the nonlinear decision feedback equalization problem is visualized as a linear, multichannel equalization problem.
Atomic charges are updated dynamically with an electronegativity equalization method, by iteratively minimizing the electrostatic energy with the charge-neutrality constraint.
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