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.
出处
《黑龙江大学自然科学学报》
CAS
北大核心
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)
关键词
盲分离
Α稳定分布
非线性
几何线性化
blind separation
alpha-stable
nonlinear
Geometric linearization
