在分析了变步长自适应滤波算法的基础上，采用基于RAM的查找表来实现滤波运算中的快速卷积。
On the basis of analyzing variable step size adaptive filtering algorithm, adopted RAM search table to implement fast convolution in the filter operation.
通过自适应步长功率控制算法与固定步长算法仿真的比较，得出这种算法通过动态改变步长可以更加适应功率的变化、有效降低中断概率、收敛速度大大加快的结论。
Simulation results show that the algorithm has better adaptation for the change of power and can lower average outage percentage effectively and faster convergence speed than the fixed-step algorithm.
在网络训练算法中，提出一种自适应修正步长和矩量因子的算法，显著提高了训练的收敛速度。
In the training algorithm of the network an algorithm with adaptive step correction and momentum factor is put forward which obviously improves the convergence speed of training.
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