An unknown parameter nonlinear system is investigated by means of wiener expansion theory.
利用维纳级理论研究了一类特性参数未知的非线性系统。
Kalman has already replaced the classic Wiener filter theory for it can not meet the development of modern target tracking system.
目前卡尔曼滤波理论基本上取代了维纳滤波理论，经典的维纳滤波方法基本上不适应现代目标跟踪系统的需求。
Then we explain basic theory of wiener filter and basic structure model of adaptive filter, and combine the method of steepest descent to deduce the LMS.
然后系统阐述了基本维纳滤波原理和自适应滤波器的基本结构模型，接着在此基础上结合最陡下降法引出LMS算法。
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