rtwtipsandscripts

说明：  灰预测，运用灰预测的MATLAB实现，建立模型，求解未来的预测值(gray modol)

second-order error-dynamics. In such a way, the mobile robot reaches its desired pose even in the case of kinematic modeling errors

维也纳大学 LTE系统级仿真平台介绍文档(Vienna LTE Simulators System Level Simulator Documentation, v1.7r1119)

分数时延估计文档对于宽带信号, 基于移相的窄带波束形成方法会导致方向图波束指向的偏移和主波束畸变, 并且无法有效地抑制宽带干扰。该文提出了基于数字时延加抽头延迟线 (tapped delay line , TDL)结构的宽带自适应波束形成方法。 该方法采用数字时延滤波单元补偿宽带信号在波束指向上的相位和包络偏移, 并用基于TDL 的空时二维滤波处理抑制宽带干扰。分析和实验结果表明, 该方法可以有效地合成空间宽带波束并抑制宽带干扰, 提高信干噪比(sig nal-to-interference-plus-noise r atio , SINR)增益。(frac delay estimation)

It will do the orthogonal frequency division multiplication.

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.)

this is source code in matlab, simulate about mc-cdma over rayleigh channel

AM_DSB_Modulation Techniques

matlab 入门教程，包含讲义和相关实例，非常实用，对于初学者(matlab tutorial, including handouts and relevant examples, very useful for beginners)

基于块匹配的一种有效的三步法运动估计算法(Estimation algorithm based on block matching an effective three-step movement)