CRC

光子晶体带隙结构, 以及有限周期情况下能谱不连续性的情况(Photonic band gap structure, and the case of a limited period photonic crystals energy spectrum of discontinuity . )

matlab基础程序——微积分和微分方程，适合初学者(matlab-based program- calculus and differential equations, suitable for beginners)

国际经典教材Optimum Array Processing中例子程序，例子最全的MATLAB代码。既适合初学者，也适合科研人员迅速找到解决办法。(Optimum Array Processing example MATLAB code)

偏微分方程数值解法课后习题解答MATLAB程序(Numerical Solution of Partial Differential Equations MATLAB Answers to after-school program)

说明：  MATLAB的感应双馈发电机系统仿真感应双馈发电机系统仿真 (MATLAB induction doubly-fed generator system simulation)

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)

说明：  小容量APF的研究方法，希望对大家有帮助。(Small capacity APF research methods, we want to help.)

本程序是自动增益控制电压的仿真过程，可利用AGC电压的变化来预测有无干扰出现。(This procedure is automatic gain control voltage of the simulation process can be used to predict changes in AGC voltage whether the interference occurs.)

Non-Symmetric Linear system, Sparse, Iterative Precondition, BiConjugate Gradient

针对图片或视频数据的眼睛区域的检测，以及眨眼的检测确定人脸区域的程序。 份关于智能图像增强的美国专利，对图像处理感兴趣的朋友可以看一下。(Tracking learning)