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In general, minimum entropy phase adjustment is implemented by an iterative solution, the image entropy decreases with the increase of iteration number until the estimate reaches an acceptable optimal convergence.
Finally, with the increase of iteration number, precise estimations are resulted in.
With increase of iteration duration the locked frequency the standard deviation shows little change and close to within 40 kHz.
The change of relative deviation of strain rate, the progressive development of die profiles with increase of iteration for optimization and the corresponding strain rate distributions are investigated.
The plot indicates that with increase of iteration duration the locked frequency detuning shows little change and the maximum standard deviation is close to within 40 kHz.
In each iteration, a MU may select the different optimal BS which provides maximal rate so cell load may change as the increase of iteration times.
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The size of the neighborhood increases with the increase of iterations until it includes the entire particle swarm.
First, the inertial weight value, which was originally a constant in the PSO algorithm, is now variable in the KLPSO algorithm, i.e., it decreases linearly with the increase of iterations.
In order to get a proper compromise between the searching ability and accuracy, the value of w in this paper decreases linearly with the increase of iterations, as shown by w = w_{hbox{max} } - frac{{w_{hbox{max} } - w_{hbox{min} } }}{{i_{hbox{max} } }} cdot i. (12 where imax represents the maximum iterations, and i is the present iteration number.
Again, the smaller η can be obtained as the increasing of iteration number and ξ, revealing the better approximation between (hat {boldsymbol {R}}) and R. Fig. 5 The approximation error η behavior versus iteration number in uniform clutter environment for ξ=0.3,0.7,1.1,1.7,2, M = 20.
In Figures 1, 2, and 3, with the increasing of iterations, IMPNLMS+ and IMPNLMS++ converges gradually in 1,000 iterations.
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