NSGAII-and-MOEA-D-master

sift算法的详细应用笔记，对sift做了详细解释(sift algorithm detailed application notes, a detailed explanation of the sift)

有传统PID介绍，引申到改进算法，包括模糊控制，滑模控制等，配有大量实例，除利用simulink搭建外同时由c或matlab语言对照。(Traditional PID introduced extended to improve the algorithm, including fuzzy control, sliding mode control, Peiyoudaliang instance, in addition to the use of structures outside simulink matlab language by both c or control.)

F16开环动力学模型，采用C语言编写的MATLAB S函数。输入为油门及3个舵面共四个控制量，以及系统低阶、高阶选择器。前缘襟翼模型内部自动调节。输出为12个状态量以及油门大小。采用欧拉角坐标系。(F16 open-loop dynamic model, using the C language MATLAB S function. Throttle input, and three of four rudder control volume, and system low, high selector. Automatically adjust the front flap inside the model. The amount of output for the 12 states and the accelerator size. Using Euler angle coordinate system.)

掺铒光纤，四能级的matlab功率仿真，凝聚了我的时间和经验。很好的反映了功率随光纤长度变化的关系.(Erbium-doped fiber, the matlab power four-level simulation, the combination of my time and experience. Well reflected the changing power relations with the fiber length.)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

高斯过程隐变量模型的matlab源代码，实现了back-constraint 加速(gaussian processes latent variable model)

Spatial channel model version 1.0

MATLAB® SimulinkInstallation Guide Release 2012a(MATLAB® & Simulink® Installation Guide Release 2012a)

说明：  遗传算法（Genetic Algorithms）在matlab中的应用(Genetic Algorithms (Genetic Algorithms) applied in matlab)

本程序是用来计算导体球的电磁散射的雷达截面问题的，使用的是由MATLAB编写的(This procedure is used to calculate the electromagnetic scattering problem of radar cross section of the conductor ball, the use of MATLAB)