Pr conjugate gradient method is one of the efficient methods for solving large scale unconstrained optimization problems, however, its global convergence has not been solved for a long time.

PR共轭梯度法是求解大型无约束优化问题的有效算法之一，但是算法的全局收敛性在理论上一直没有得到解决。

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But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.

但盲估计算法，如子空间分解法等，需要较大的样本值，收敛速率慢，不利于实时信道估计。

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But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.

但盲估计算法，如子空间分解法等，需要较大的样本值，收敛速率慢，不利于实时信道估计。

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