the-Null-Preprocessing-Algorithm

图像去噪的快速算法，利用SSI和FFT.毕设的内容，效果还是不错的。(based NL-means filter,fast mean with SSI and FFT)

说明：  fuzzy gradient descent learning algorithm

the matlab code of fading channel

OFDM信道估计中LS和MMSE估计算法的matlab源程序(Channel estimation source code)

一个异步电机直接转矩控制系统的仿真模型。(A simulation model of direct torque control system for asynchronous motor is presented.)

This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.

说明：  比较好的学习资料 适合于初学者来学习来使用(Better learning materials suitable for beginners to learn to use)

说明：  这个资料是学习kalman滤波的基础材料，里面有程序和文档介绍，适合初学的童鞋(The attachment is the material for Kalman learning, especally for beginners.Hopefully, it will help)

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 the integration work platform on the system tells MATLAB6.5 the guide readers to 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.)

Tool read mp3 in MatLAB