LMS_Newton

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  MATLAB开发的文字识别的实例 欢迎下载(MATLAB to develop the character recognition example of welcome to download)

改进型最小二乘法在PMSM参数辨识中的应用(Improved least squares method in the PMSM parameter identification)

说明：  Matlab微分方程求解,一个利用Matlab进行微分方程求解的教程，简单实用。(Matlab for solving differential equations, one for the use of Matlab for solving differential equations of the tutorial, simple and practical.)

A Quadrotor simulation that is performed in MATLAB and SIMULINK

三次样条曲线函数 提取数据的样条函数 仅供参考 (spline function using spline interpolation to strike a group of data points in the points in the derivative (only provide functions))

使用matlab工具，用三种方法实现镜头边缘的检测。(Use of matlab tools, using three methods to achieve the lens edge detection.)

THIS M-FILE USES THE TRANFER MATRIX METHOD TO EVALUATE THE COUPLED-MODE ％EQUATIONS. THE REFLECTION SPECTRUM OF THE GRATING AND THE TRANSMISSION ％SPECTRUM, DELAY AND DISPERSION OF THE FABRY-PEROT FILTER ARE SIMULATED(THIS M-FILE TRANFER USES THE MATRIX METHOD TO EVALUATE THE COUPLED- MODE EQUATIONS%. THE R EFLECTION SPECTRUM OF THE GRATING AND THE TRANS MISSION% SPECTRUM, DELAY AND DISPERSION OF THE FABRY-Ross PEROT FILTER ARE SIMULATED)

this matlab code about the ofdm

在信道均衡运用中，将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号，可期望信号是原始信号的时延形式，如图22（a）所示。通常情况下，输入信号的时延形式在接收端是可以得到的，采用形式是标准的训练信号。当MSE达到最小时，就表明自适应滤波器代表了信道的逆模型（均衡器）。(In the use of channel equalization, will be sent by the effects of channel distortion signal as the original adaptive filter input signal, can expect signal is the original signal delay form, Figure 22 (a) as shown. Under normal circumstances, the input signal at the receiving end delay form is accessible, using the form of training is a standard signal. When the MSE to achieve the best hours, show that the adaptive filter on the channel represents the inverse model (EQ).)