The local superlinear and quadratic convergence of this two models under some mild conditions without the strict complementary condition are analysed and proved.
详细分析和论证两个模型的局部超线性收敛性及二次收敛性条件，其中并不需要严格互补条件。
Computer simulation results confirms the theoretical analysis and shows the new algorithm provides faster convergence speed than the complementary pair algorithm and usual LMS algorithm.
计算机仿真结果与理论分析相一致，证实了该算法比通常的补对算法和传统的LMS算法有更快的收敛速度。
The convergence speed and misadjustment can be controlled separately using a complementary pair filters. And under the criterion of the least mean square error, the proportion of weight is adjusted.
该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
The convergence speed and misadjustment can be controlled separately using a complementary pair filters. And under the criterion of the least mean square error, the proportion of weight is adjusted.
该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
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