Interference-Alignment-Techniques-for-MIMO

一个用于自然数编码遗传算法的工具包indexGA，以及用这个工具包实现的车辆路径优化问题的算法例程(One for the natural number-coded genetic algorithm toolkit indexGA, and use this tool kit to achieve VRP algorithm routine)

MATLAB的教程 简单明了 适合初学者 及其相应的实验(Simple MATLAB tutorial for beginners and their corresponding experimental)

利用MATLAB实现的SPIHT算法源代码 MATLAB实现的SPIHT算法源代码(SPIHT algorithm implemented using MATLAB source code MATLAB implementation of the SPIHT algorithm source code)

It shows how to build a clock in MATLAB..........................................................................................................................................................................................................................

ωKA是实现SAR图像成像的一种方法，该程序实现了ωKA的近似和精确两种成像方式，仿真参数参考《合成孔径雷达成像——算法与实现》，利用Stolt插值实现了目标成像，最后在方位向和距离向进行切片，观察成像结果。(ωKA is one of the point target imaging algorithms of SAR . This program implements both exact and approximate ways of imaging. Simulation parameters refer to the book Synthetic Aperture Radar imaging- Algorithms and Implementation .)

传统的近似三角形内点测试( APIT),即近似三角形内点测试定位算法,广泛应用于静态节点定位.结合粒子滤波提出改进算法,将APIT算法推广到节点动态定位.(Traditional approximate point inside the triangle test (APIT), namely the approximate point within the triangle test positioning algorithm, widely used in the static node localization. Combined with particle filter algorithm is proposed to improve the APIT algorithm is extended to the node dynamic positioning.)

对MIMO-OFDM系统通过不同的算法进行仿真得到结果图(Simulation results of mimo-ofdm system are obtained through different algorithms)

基于逆变器控制的微电网仿真,可以观察试验逆变器在微电网中的作用。(simulation of microgrid based on simulink)

一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。(SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration.)

This submission enables MATLAB to access onboard Sensors on iPhone and iPad. With this submission, you can access a mobile device’s accelerometer, magnetometer, location, orientation and compass information directly from MATLAB running on your computer. You can access current and logged sensor data, and you can use MATLAB to visualize and analyze the mobile sensor data or make decisions based on the acquired data.