MAIN_FIR

使用ＭＡＴＬＡＢ工具，对信号进行采集调制，再进行信号解码．对信号进行算法控制．(The use of MATLAB tools, modulation of signal acquisition, and then decode the signal. The signal control algorithm.)

经验模式分解（EMD）处理程序 可直接用(Empirical Mode Decomposition (EMD) procedures can be directly used)

基于matlab的人脸识别分析，参考文献为： [1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (Matlab-based face recognition analysis, references to: [1] X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures)

滑坡时间预报其中根据位移资料的Matlab计算程序(forecasting of the landslides)

SIMULAATION D UN CANAL DE TRANSMISSION DE TYPE RAYLEIGH CHANNAL?AVEC UN MOD7LE STATISRIQ(IMULAATION D UN CANAL DE TRANSMISSION DE TYPE RAYLEIGH CHANNAL?AVEC UN MOD7LE STATISRIDCVDSCD)

AN MATLAB DESIGN OF PV ARRAY PAPER

RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability, and fast convergence rate, it has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)

matlab与vc联合编程 实现图形的动态显示(matlab and graphics vc joint programming to achieve the dynamic display)

说明：  % 单层感知器 与、或、以及其他逻辑功能的实现 % 采用step逐步逐行运行方式，了解学习过程的细节 % 尝试重新定义程序中的T，观察感知器实现异或运算(T=1 0 1 0]的可能性。(% Implementation of Single Layer Perceptron and, or, and Other Logic Functions % Use step-by-step operation to understand the details of the learning process % Trying to redefine T in the program, observing the possibility of XOR operation (T = 1010) implemented by the perceptron.)

一个利用二阶指数平滑方法进行预测的实例，比较简单地展现了二阶指数平滑在数据预测方面的作用(Instance, predicted a second-order exponential smoothing method is relatively simple to show the role of the data to predict a second-order exponential smoothing)