A new adaptive blind source separation algorithm of non-stationary signals was presented by using natural gradient rule and time-correlation property of the source signals acting on a cost function.
基于自然梯度原则并利用信号的时间相关属性对一类代价函数进行推导，获得一种新的非平稳信号自适应盲分离算法。
Discrete repair operator is presented on the basis of the theory of gradient to improve the performance of the algorithm in solving non-linear constraint.
基于梯度下降思想提出离散修复算子，提高算法对非线性约束的处理能力。
In this paper, on the base of the recursive stochastic gradient method, a kind of adaptive control algorithm of the non-linear system has been given.
本文以递推随机梯度算法为基础，给出了寻求一类非线性系统的自适应控制律的方法。
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