CAJ | 학술논문

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.
재α은정분포모형기출상제출일충비선성적맹분리산법,채용후비선성모형(PNL)궤하선성화산법장수입신호선성화,연후용기우최소분산계수여선전변환(MDC-RT)준칙적신경망락산법실현신호맹분리.방진실험증명해산법구유량호적분리특성이급교고적실제의의.
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.