SUBROUTINE-Gauss

MATLAB常用算法的程序集，对matlab学习者来说是不错的资料(The MATLAB algorithms commonly used procedures set matlab learners good information)

说明：  利用Matalab软件分别编写子函数实现数字图像压缩及解压缩处理，并统计分析压缩处理算法所能够实现的压缩比及解压图像和原始图像间的均方根误差。(Functions were written by Matalab software for digital image compression and decompression processing, and statistical analysis of compression algorithms to achieve the compression ratio and decompression images and root mean square error between the original image.)

adaptive median filter

系统参数优化算法，可以用于系统的pid参数寻优，在matlab可以直接寻优(System parameter optimization algorithm can be used for the pid of the system parameter optimization, optimization in matlab can)

一个简单卡尔曼滤波的例程，国外网站下载的，m文件详细说明了卡尔曼滤波器的设计过程(A simple Kalman filtering routines, Abroad website)

蒙特卡洛法课件 有几个版本的 ppt格式 还有matlab 的例题(lecture notes on Monte Carol method)

偏最小二乘法的回归计算，用于多元统计中的一种算法(method of partial least square)

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.)

This is an example for understanding

A program on Correlation