把积分变成求和，再以所得到关于点集正交的多项式作基求最小二乘的拟合曲线-The integral into a sum of them, and then got on the point set of orthogonal polynomials for least-squares fitting curve of the base demand

。给出了时域滤波的基本原理以及通常采用的 IIR 椭圆地物杂波滤波器的设计方法。重点研究了回归滤波器这一时域滤波算 法。从正交多项式的拟合出发，给出了回归滤波器抑制地物杂波的基本原理及 其滤波实现过程。通过对回归滤波器的计算复杂度的研究，寻找使回归滤波器 计算量最小的正交多项式。分析了回归滤波器频率响应特性，比较了回归滤波 器与IIR 椭圆地物杂波滤波器的计算复杂度。利用仿真的雷达信号，分析了回 归滤波器的地物杂波抑制性能。回归滤波器实际上是一高通滤波器，它在滤掉 低

离散试验数据点的正交多项式最小二乘拟合，源程序-Discrete experimental data points orthogonal polynomials least squares fitting

In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple stru

这是一个关于正交多项式在最小二乘拟合中的应用问题，很实用，只要改数据就可以。-This is an application of orthogonal polynomials in the least-squares fitting, very practical, as long as the data can be changed.