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说明：  ：《图像配准技术及其Matlab编程实现》一书的Matlab源码(the image registration technology and its Matlab programs, "a book of Matlab source)

说明：  最优问题求解工具包，通过GA遗传算法，可以求得最优解。(Optimal problem solving toolkit, through the genetic algorithm GA, you can get the optimal solution.)

matlab subroutine incldes limit conditions ito the global stifness matrix and load victor for a quzdrilateral element

修正的euclid算法matlab程序，验证通过(Euclid algorithm matlab revised procedures, to verify through)

rayleigh 信道特性仿真 包括jakes模型 修正型 以及改进型三种模型的信道特性仿真及其图(Simulation of rayleigh channel, including jakes model updating-based and improved characteristics of three models of channel simulation and Figure)

the Gibbs phenomenon graphic in matlab , you can change the number of armonics by changing the N value

说明：  通信系统仿真中，用于生成同步训练序列,第一帧产生短训练序列，第二帧产生长训练序列。(To generate the synchronization training sequence in the simulation of Communication system.the first frame is used to produce short training sequence, the second frame to give a long training sequence.)

This software is provided free of charge. As such, the authors assume no responsibility for the programs behavior. While they have been tested and used in-house for three years, no claim is made that biased ARTMAP implementations are correct or bug-free. They are used and provided solely for research and educational purposes. No liability, financial or otherwise, is assumed regarding any application of biased ARTMAP.

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。

使用MATLAB编写的aBimRB神经网络算法，本程序根据训练好的网络文件JDBqGzE预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedaBimRB neural network algorithm, the program according to the trained network fileJDBqGzE anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )