本文提出了一种自适应最速下降法
该算法在搜寻最小均方误差过程中不断改变搜索步长
使步长自适应于算法的收敛过程。在理论上证明了对于任何统计特性的噪声干扰
VLMS算法优于LMS算法。计算机模拟结果验证了上述结论。
The steepest descent algorithm which varies its step size constantly in seeking its minimum mean-square error is presented. Computer simulation results are presented to illustrate and verify that the VLMS algorithm is superior to the LMS algorithm for any statistic characteristics of noise and the complexity of computation of both algorithms is almost same.
0
浏览量
95
下载量
5
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621