基于Alpha稳定分布噪声环境下的两步分离自适应算法  

A new Two-step Separation of Adaptive Algorithm in Alpha-stable Noise Enviroment

作　　者：陈燕芳[1] 查代奉[1] 

机构地区：[1]九江学院电子工程学院,江西九江332005

出　　处：《煤炭技术》2010年第4期30-32,共3页Coal Technology

基　　金：国家自然科学基金资助项目(60772037);江西省教育厅科技项目(GJJ09344)

摘　　要：自适应滤波理论技术在很多领域有广泛应用,若实际应用中随机信号和噪声有显著的脉冲特性,则Alpha稳定分布能更好地进行描述。文章给出了在分数低阶Alpha稳定分布噪声环境下的一种两步分离自适应算法TSLMP。实验表明,该算法相对以往的LMP算法计算复杂度大大降低,有良好的收敛特性。Adaptive filter theory and technology has wide application in many fields.Alpha-stable distribution can better describe the signal and noise, which with the pulse characteristics, in the practical application of the encounter.In this paper, we proposed a new two-step separation of adaptive algorithm （TSLMP） that in the scores of low-end Alpha stable noise environment. Experiments show that the algorithm is relatively past LMP algorithm significantly reduced computational complexity, and a good convergence property.

关 键 词：自适应滤波 ALPHA稳定分布 LMP算法 

分 类 号：TN713[电子电信—电路与系统]