【摘要】 本文首次提出了适用于微弱信号提取的盲源分离算法,这种方法是在常用的自然梯度串行更新算法基础上采用了有监督的机制。通过观察两个信号互相关的程度自动判别激活函数的种类,实现了超高斯亚高斯强弱信号混合下的盲源分离。信号仿真表明,有监督的盲源分离技术收敛速度较快,精度较高。更多还原

【Abstract】 A blind separation algorithm for weak signal extraction is proposed.This algorithm is based on the natural gradient algorithm but in addition supervises the quality of separation to estimate the activation function automatically on noting the correlation of two signals.Mixed super-Gaussian and sub-Gaussian signals of which one is strong and the other is weak are separated successfully.The simulation shows that this algorithm converges relatively precisely and quickly.更多还原