高阶统计量方法在谐波恢复中的应用  

Application of High-order Statistics Method in Harmonic Retrieval

作　　者：段薇[1] 路向阳[2] 

机构地区：[1]江西科技师范学院数学与计算机科学学院,江西南昌330013 [2]中原工学院电子信息学院,河南郑州450007

出　　处：《计算机与现代化》2011年第6期100-102,共3页Computer and Modernization

基　　金：国家自然科学基金资助项目(50977093)

摘　　要：谐波恢复是信号处理中的重要问题,谐波恢复就是在噪声中分析组成信号的各次谐波。噪声分为加性噪声和乘性噪声,本文分析加性噪声和乘性噪声的特点,提出采用高阶统计量的方法抑制噪声,恢复谐波。通过四阶统计量的切片抑制乘性噪声,采用二阶累积量谱抑制加性噪声。仿真结果表明,本方法具有很好的抑制噪声效果。Harmonic retrieval is an important problem of signal processing.Harmonic retrieval is various order harmonic which make up of signal in noise.Noise can be classified as additive noise and multiplicative noise.This paper analyses the characteristics of additive noise and multiplicative noise,and proposes using high-order statistics to restrain noise and to retrieve harmonic.Uses the slice of four order statistics to restrain multiplicative noise and two order cumulative spectrum to restrain additive noise.The simulation results show this way has very good effect of restraining noise.

关 键 词：谐波恢复 高阶统计量 噪声 

分 类 号：TN911.7[电子电信—通信与信息系统]