盲源分离的自适应在线学习方法，采用最大熵，四个源信号，四个混合信号和自然梯度方法-Adaptive online learning method for blind source separation using the maximum entropy, four source signals, four mixed-signal, and the natural gradient method

变步长自然梯度算法实现盲源分离，后面还有动量项自然梯度算法-Variable step-size natural gradient algorithm for blind source separation

自然梯度算法，实现盲源分离，体现了该方法性能-The natural gradient algorithm, realization of blind source separation, reflects the performance of the proposed method

LMS自然梯度算法，在经典的最小均方(LMS)算法中引入非线性函数,得到一种非线性LMS算法.该算法根据LMS算法建立了相应的对照函数,用自然梯度推导出了自适应盲源分离算法-LMS natural gradient algorithm, in the classical least mean square (LMS) nonlinear function in the algorithm, a nonlinear LMS algorithm. The algorithm function is