The monotonicity of the cross-correlation function is demonstrated, and a fast discrimination algorithm based on a binary extreme search method, which decreases the computational load and maintains global optimization, is also proposed.
Professor Howle developed a reduced Galerkin method which decreases the execution time by orders of magnitude for large problems.
Lu et al. proposed a Group-Of-Picture (GOP- level bit allocation [18] scheme and Shen et al. proposed another frame-level bit allocation method which decreases the averaGOP- leveld deviation of video quality [19].
At last, based on Lyapunov stability theory, a robust adaptive neural control method is obtained, which decreases the number of learning parameters and thus reduces the computational burden.
In the proposed methods, converted samples are nonuniform, which decreases the number of additional samples and lead to decreasing in the power consumption.
The developed algorithm efficiently eliminates the necessity for applying commonly used optimization methods for the fitting (localization) process, which decreases the computational cost and uncertainty of the evaluation process.
The curtailment of wind power is implemented in existing dispatch methods to insure power system safety, which decreases the utilization rate of wind power.
In order to overcome these limitations, a novel self-tuning (ST -VSG baST -VSGquency control method is developed in this paper, which decreases the computational basedn ofrequency and provides the self-tuning virtual inertia as well as virtual damping.
Oxidation method oxidizes the impurities as well as nanotubes, which decreases their properties [18].
One of them is the gradient projection method, which, starting from a feasible point, moves in a direction which decreases the error criterion and satisfies the above constraints.
