ChameleonChips_GnssSdrToolkit_1v01_090912

说明：  最全的通信类Matlab仿真例子集合。。。。。。。。。。。。。。(The most comprehensive set of communication class Matlab simulation example. . . . . . . . . . . . . .)

it is about math model matlab

Digital ImageProcessing Using MATLAB 数字图像处理（MATLAB版） 冈萨雷斯和伍兹所著 这本书的matlab代码编译后的文件 可以在matlab中使用 (Digital ImageProcessing Using MATLAB digital image processing (MATLAB version) written by Gonzales and Woods book compiled matlab code files can be used in matlab)

本程序是关于MATALB图象处理应用例子，用MATLAB编程把图象石块的总个数计算出来。(This program is an example on the MATALB image processing applications, using MATLAB programming to the total number of images derived rocks.)

Optical Character Recognition for the first algorithm to process it in NN area

描述了永磁同步电机的原理与控制方法，是十分详细的一本教程.(Describe the PMSM control method. It s very helpful for motor control)

极速学习机,可以做模型预测、评价，比BP神经网络更优。(Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.)

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：  逐条路由算法的matalb实例仿真，绝对跑得通请大家放心(hop by hop routing)

利用自适应滤波来滤除脑电信号采集过程中的50Hz工频干扰(Filter the power line interference based on adaptive filter for EEG)