摘要
分析了自适应滤波器最常用的一种LMS算法——最陡下降法,指出该法仅是局部最优,而非全域最优。然后提出了一种新的LMS算法——改进的最陡下降法,该算法正是求最佳权矢量的一个简单而有效的算法。
In this paper, the method of steepest descent which is frequently used in the adaptive filters is studied at first. Then modified steepest descent method which is a new LMS algorithm of adaptive filters is presented ,This method is a simple and effective algorithm to solve optimum coefficient .
出处
《常州工学院学报》
2000年第4期34-37,共4页
Journal of Changzhou Institute of Technology
关键词
自适应滤波器
LMS算法
最陡下降法
adaptive filters
LMS algorithm
the method of steepest descent
