摘要
最小均方(LMS)算法是一种基于梯度的算法。本算法具有实现简单而且对信号统计特性变化具有鲁棒性。该算法通过多次迭代来求出权值的近似值。
Minimum mean-square （LMS） algorithm is a gradient-based algorithm. This algorithm is simple and is robust to changes in the signal statistical characteristics. The algorithm through several iterations to find the approximation of the weights.
出处
《电子设计工程》
2012年第18期190-192,共3页
Electronic Design Engineering
