exp103

4进制振幅键控的源代码，运行后得到正常结果！(4 binary amplitude shift keying of the source code, running the results are normal!)

1.地球同步轨道卫星，倾角分别为0，30，90度。 (1 satellites in geosynchronous orbit, respectively 0,30,90 degrees inclination.)

matlab 彩色图像处理，是采用Kmean聚类法做出的。处理的效果还行(atlab color image processing, clustering method is used Kmean made. Treatment results were line )

快速PCA算法，用于对大规模数据进行PCA降维，节省时间(fastPCA for large scale data which can save proceeding timE)

本书第一章系统讲述MATLAB6.5的集成工作平台，引导读者初会MATLAB基本用法。第二、三章系统叙述MATLAB6.1的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5的数值计算、符号计算、函数和数据可视、面向对象编程、GUI交互操作界面设计、EXE独立应用程序生成、实现不同软件平台交互的API、M-book数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK的分层建模、仿真功能、与MATLAB交互的功能。(The first chapter of this book the system tells MATLAB6.5 of integrated working platform, guiding the reader will be the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)

含有未知参数的二阶系统的自校正PID控制(Self-correcting second-order system with unknown parameters PID control)

线性规划的MATLAB程序，希望对大家有用(Linear programming)

robotics plot for obstacle avoidance

说明：  图象压缩方面的论文pdf格式 可用于毕业设计方面的工作(Image compression pdf format papers for school design work)

粒子群算法改进的自适应蝙蝠算法,具有很好的收敛速度和收敛精度(Improved adaptive bat algorithm based on particle swarm optimization has good convergence speed and convergence accuracy.)