In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.
调整该算法中两个梯度矢量的比例系数,可提高该算法收敛速度、减少收敛后的均方误差。
Though the decision directed least mean square error algorithm (DD-LMS) has small residual error, when the channel eye close, it can not converge. That is, it has no cold start ability.
虽然判决导引最小均方误差算法(DD - LMS)剩余误差小,但是,在信道眼图闭合的情况下,该算法无法收敛,即不具备冷启动能力。
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