一种基于稳定分布模型的非线性盲分离算法  

A nonlinear BSS algorithm based on alpha-stable model

作　　者：张朝柱[1] 李惠[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001

出　　处：《黑龙江大学自然科学学报》2010年第1期135-140,共6页Journal of Natural Science of Heilongjiang University

基　　金：国家自然科学基金资助项目(60672034)

摘　　要：在α稳定分布模型基础上提出一种非线性的盲分离算法,采用后非线性模型(PNL)几何线性化算法将输入信号线性化,然后用基于最小分散系数与旋转变换(MDC-RT)准则的神经网络算法实现信号盲分离。仿真实验证明该算法具有良好的分离特性以及较高的实际意义。A nonlinear BSS algorithm based on alpha-stable model is put forward in the composition.The geometric linearization algorithm based on PNL was used firstly,then the neural network algortihm based on MDC-RT was used to separate the signals.Experiment proves that this algorithm has a good separate character and has a high practical significance.

关 键 词：盲分离 Α稳定分布 非线性 几何线性化 

分 类 号：TN911.7[电子电信—通信与信息系统]