自适应周期滤波器及其学习算法  

Adaptive Periodic Filters and Their Learning Algorithms

作　　者：孙明轩[1] 毕宏博[1] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310023

出　　处：《杭州电子科技大学学报（自然科学版）》2011年第4期110-113,共4页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：国家自然科学基金资助项目(60874041)

摘　　要：针对周期平稳随机信号,提出自适应周期滤波方法。该文给出自适应周期滤波器的一般结构和实现步骤,推导出周期最小均方算法和周期最小二乘算法。完成的仿真算例验证了所提出的自适应周期滤波方法的有效性。This paper presents an adaptive periodic filter method for cyclical stationary random processes, where the general structure of adaptiVe periodic filters and the periodic learning mechanism have been given. Both periodic least mean square and periodic least squares algorithms are derived in detail. The effectiveness of the proposed method is demonstrated via the presented numerical results.

关 键 词：周期平稳随机过程 时变系统 自适应滤波器 周期学习 

分 类 号：TN713[电子电信—电路与系统]