However, in practice, the convergence improvement gained by increasing the number of subbands is ultimately limited by nonideal filter Banks and finite-word-length effects.
然而，在实际应用中，随着子带数目增加而增加的收敛速率却最终受限于不理想的滤波器组和有限字长效应。
The simulation result derives the suitable convergence factor and verifies the improvement of the proposed algorithm in terms of power control precision and convergence speed.
最后通过仿真对比得到算法收敛因子的合理取值，验证了可变步长功率控制算法可有效提高功率控制精度和收敛速度。
This paper puts forward an improvement plan to counter the slowness of convergence rate of BP artificial neural network.
本文针对BP神经网络收敛速度慢的缺点，提出了改进方案。
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