teager

说明：  自由空间路径损耗模型 羽田孜路径损耗模型 IEEE802.16d的路径损耗模型 距离/正常阴影路径损耗模型(free space path loss model Hata path loss model IEEE 802.16d path loss model distance/normal shadowing path loss models)

阵列信号处理的程序 包括很多种常用算法 如music esprit capon 算法等 非常实用(Array signal processing program includes a variety of commonly used algorithms, such as music esprit capon algorithm is very practical)

DOCUMENT ON DISTRIBUTED ARITHMATIC

基于压缩感知的关联成像程序，计算鬼成像，过完备稀疏表示(Based on compressed sensing imaging procedures associated with calculating ghost imaging, over-complete sparse representation)

说明：  Kalman滤波器仿真研究，包括自己写的小论文及其详细的MATLAB程序仿真。(Kalman filter simulation studies, including a small paper to write my own detailed procedures for the MATLAB simulation.)

功率谱估计的各种方法的matlab代码 包括AR模型，ESPRIT,周期图谱，MUSIC，PISARENKO等方法(Power spectrum estimation method matlab code, including the method of AR model, ESPRIT, the cycle map, the MUSIC, PISARENKO etc.)

用matlab程序实现十进制数向二进制数的转化(realize the transformation of the decimal number to a binary number by Matlab program)

风力发电并网对电能质量的影响，学习风力发电软件的资料(Of grid-connected wind power quality, the influence of the study of wind power generation software information)

对目标进行卡尔曼滤波，绘制出了该算法的跟踪效果、预测位置和更新位置的对比图、预测速度和更新速度的对比图。(Kalman filtering of targets drawn out of the tracking performance of the algorithm to predict the location and updated comparison chart position to predict the speed and update rate comparison chart.)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)