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LMS和VSS_LMS算法比较其仿真源代码(Comparison of LMS and the simulation VSS_LMS algorithm source code)

S 函数 编写的 最大功率捕获程序 在MATLAB上 调试成功 请大家参考(S function to write the greatest power capture program in MATLAB debugging success, please refer to)

matlab批量文件处理目录读取，用于图像处理或者其他应用中读取目录(matlab batch file processing directory is read for image processing or other applications to read the directory)

本gatbx遗传算法工具箱是在原设菲尔德大学gatbx工具箱基础上的改进，扩展了原gabtx功能，将原始的基于命令式的mpga.m及sga.m文件封装成函数形式，使用更简单易懂，适合初学者或一些只要求用遗传算法解决实际问题而不需深究遗传算法本身的同学。(The gatbx genetic algorithm toolbox in the original design the Rumsfeld the University gatbx Toolbox based on the improvements, extended the original gabtx function, the functional form of the original package based the command-mpga.m sga.m file, more simple to use and easy to understand.suitable for beginners or some only require genetic algorithm to solve practical problems and do not need to get to the bottom of the genetic algorithm itself classmates.)

成功实现计算FFE算法的程序，本人测试已经通过，性能已基本达到bijiao算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate bijiao algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

data generation using matlab neural network

porter stemmer developed in matlab based on 1980 porter stemmer algorithm

matlab信号处理常用函数参考书，分类清晰明了，对信号处理函数做了很好的分类，便于查询。(commonly used signal processing matlab function reference, classification clarity of the signal processing functions done a very good classification, easy to query.)

射频电路设计的全部MATLAB计算仿真程序。(RF circuit design all MATLAB simulation program.)

《MATLAB7.0从入门到精通》对MATLAB 7.0进行了详细的介绍，力求做到细致全面。全书共分为15章。前5章是有关MATLAB的基础知识，包括MATLAB的安装、卸载及系统功能的简述，MATLAB的数学运算和数据可视化工具以及MATLAB的编程等内容。第6章～第9章是MATLAB的高级应用部分，分别介绍了MATLAB 7.0的数据分析和处理功能，符号计算功能，Simulink仿真环境和文件I/O操作。第10章～第12章和第14章介绍了信号处理工具箱、图像处理工具箱和编译工具箱以及应用广泛的高级图形设计。第13章、第15章介绍了MATLAB的外围功能，包括与Word、Excel的混合使用和MATLAB的应用程序接口。附录部分列出了常用命令和函数，Simulink的库模块和应用程序接口函数库。( MATLAB7.0 entry to the proficient on MATLAB 7.0 for a detailed description, and strive to achieve a comprehensive and detailed. The book is divided into 15 chapters. The first five chapters are on MATLAB basics, including MATLAB installation, uninstallation and brief system functions, MATLAB math and data visualization tools, and MATLAB programming and other content. Chapter 6- Chapter 9 is an advanced application part of MATLAB, introduced the data analysis and processing functions in MATLAB 7.0, symbolic computation capabilities, Simulink simulation environment, and file I/O operations. Chapter 10 ~ 12 Chapter 14 describes the Signal Processing Toolbox, Image Processing Toolbox and compilation toolkit and widely senior graphic design. Chapter 13, Chapter 15 describes the peripheral functions of MATLAB, including Word, Excel, and MATLAB mixed use application interface. The appendix lists the common commands and functions, Simulink library modules and application program interface l)