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最优状态估计书Ebook_Optimal_State_Estimation(Ebook_Optimal_State_Estimation)

describe a gaussian beam 1D

天线平面阵列 绘制方向图 从文件读取各阵列元素的幅度和相位以及坐标 (Antenna planar array draw the pattern read from the file of each array element‘s amplitude and phase as well as coordinate)

遗传免疫算法的最短路径求取，用matlab语言实现，可对机器人的路径进行规划。(The shortest path to strike a genetic immune algorithm, using matlab language, can robot path planning.)

数据类型转换,int转换成uint8，比较适用(data change)

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)

说明：  时频分析（GUI），非常适合观察研究非平稳信号的时频特性(Time-Frequency Analysis)

Wiley - Antenna and EM Modeling with MATLAB CHAPTER5

下面是5 MATLAB文件。 1。readsounds。米,用于读取数据 2。sep.m,一个学习通过数据的代码 3。sepout。米,可选的文本输出 4。wchange。米,体重变化的大小和方向 5。sep.run,2 - > 2分离的示例脚本(Below are 5 MATLAB files. 1. readsounds.m, for reading the data in 2. sep.m, the code for one learning pass thru the data 3. sepout.m, for optional text output 4. wchange.m, tracks size and direction of weight changes 5. sep.run, an example script for 2->2 separation )

基于纹理特征的图像检索源码，通过双树复小波进行纹理特征提取(Texture-based image retrieval source, through the dual tree complex wavelet texture feature extraction)