求翻译：对信道的输入信号采用DB2正交小波进行分解，分解层次是2层，功率初始值设置为4，遗忘因子=0．999，500次蒙特卡诺仿真结果，如图3所示。图3(a)表明，在收敛速度上，基于蚂蚁算法优化的正交小波盲均衡算法比WTCMA大约快了500步，比CMA快了1 000步。是什么意思？

The db2 orthogonal wavelet decomposition of the input signal of the channel, the decomposition level is two layers, the power of the initial value is set to 4, forgetting factor = 0.999,500 Monte Cano simulation results, shown in Figure 3. Figure 3 (a) show that the convergence speed, the orthogonal

The channel of the input signal with DB 2 orthogonal wavelet decomposition levels, split is a Layer 2, the power initial value is set to 4, forgotten factor = 0.999 500 Monte Carlo Kano simulation results, as shown in Figure 3. Figure 3 (A) shows that the speed of convergence on ant algorithms, opti

Uses the DB2 orthogonal wavelet to the channel input signal to carry on the decomposition, the decomposition level is 2, the power starting value establishment is 4, forgetting factor =0.999, 500 Mongte Karnow simulation result, as shown in Figure 3.Chart 3(a) indicated that, in the convergence rate

Channel input signal using DB2 orthogonal Wavelet Decomposition, decomposition level is 2, initial value set to 4 power, forgetting factor =0. 999,500 mengtekanuo simulation results, as shown in Figure 3. Figure 3 (a) show that on the convergence rate, based on Ant Colony optimization algorithm of b

right to a center-tapped to initialize;