TanwPSOprogram

求解包装动力学在受到脉冲下的冲击谱,来算具体响应规律 (response shock spectrum)

computer in engineering in farsi

基于矩阵笔方法的稀疏阵列综合，是一篇引用率很好的文章(matrix pencil)

有序统计恒虚警检测器（OS-CFAR），适用于复杂环境下的运动目标检测。 包含经典的OS-CFAR，以及OSGO-CFAR和OSSO-CFAR。(detector based on the ordered statistic constant false alarm rate (OS-CFAR) technique)

使用Matlab R2009b进行数字音频压缩处理编程(Using Matlab R2009b compressed digital audio programming)

Controle vetorial do motor de induç ã o

C-CMethod.m C-C法主函数，调用方式见函数体 correlation_integral.m 关联积分求解（被C-C法主函数调用） disjoint.m 将时间序列分为t个不相交的向量 heaviside.m 判断函数>0为1，<0为0 reconstitution.m 相空间重构函数 lorenz_phase.m 实验函数，用lorenz系统测试C-C法 lorenz_sim.mdl 用simulink建立的lorenz系统(C-CMethod.m CC method main function, see the body of the function invocation correlation_integral.m correlation integral solution (CC method is the primary function call) disjoint.m time series is divided into t disjoint vector heaviside.m determine the function> 0 1, < 0 0 reconstitution.m experimental phase space reconstruction function lorenz_phase.m function lorenz system test with CC method lorenz_sim.mdl established lorenz system with simulink)

直流伺服电机用MATLAB实现的源代码，伺服系统由具有位置反馈、速度反馈和电流反馈的三闭环结构组成本控制系统采用模糊和PID复合控制，在小偏差时转化为P ID控制，这样就获得了比纯模糊控制更高的稳态精度，有比P ID控制更快的动态响应、更小的超调量。(DC servo motor to achieve with the MATLAB source code, by a position feedback servo system, the speed feedback and current feedback loop structure composed of three of the control system using fuzzy and PID compound control, in a small deviation into the P ID control, so that access to higher than the pure fuzzy control steady-state accuracy, faster than P ID control the dynamic response, smaller overshoot.)

遗传算法示例，子文件形式，可供初学者参考(Genetic algorithm example, the sub-file formats, for beginners reference)

这是几个matlab和C++混合编程的实例，讲述的比较详细，绝对可以编译，使你拨开云雾，混编就这么简单。本源码也详细讲述了，如何在没安装MATLAB环境下如何部署，十分详细！(This is the number of matlab and C++ mixed programming examples, described in more detail, absolutely can compile, so you sweep aside the clouds, mixed that simple. The source also tells in detail how to install the MATLAB environment, not how to deploy, very detailed!)