中文说明：应用背景维纳滤波（wiener filtering) 一种基于最小均方误差准则、对平稳过程的最优估计器。这种滤波器的输出与期望输出之间的均方误差为最小，因此，它是一个最佳滤波系统。它可用于提取被平稳噪声所污染的信号关键技术从连续的（或离散的）输入数据中滤除噪声和干扰以提取有用信息的过程称为滤波，这是信号处理中经常采用的主要方法之一，具有十分重要的应用价值，而相应的装置称为滤波器。根据滤波器的输出是否为输入的线性函数，可将它分为线性滤波器和非线性滤波器两种。维纳滤波器是一种线性滤波器。
English Description：
Application backgroundWiener filtering (filtering Wiener) based on the minimum mean square error criterion, the optimal estimator for stationary process. The mean square error between the output of the filter and the desired output is the minimum, so it is an optimal filtering system. It can be used to extract the signal which is contaminated by stationary noise.Key TechnologyFiltering noise and interference from continuous (or discrete) input data is called filtering, which is one of the main methods used in signal processing, and it has very important application value. According to the output of the filter is the linear function of the input, it can be divided into two kinds of linear filter and nonlinear filter. Wiener filter is a linear filter.