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this program describes the golay codes : encoder and decoder

RBF算法应用于声断层成像，根据探测器接收到声信号时间的差异，推导出区域的温度分布(RBF algorithm is applied to acoustic tomography, the detector receives the sound signal according to the time difference, the temperature distribution derived regional)

matlab实现的svt（奇异值阈值）算法(matlab implementation svt (singular value threshold) algorithm)

关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。(On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples.)

利用sobel边缘检测算子实现图像边缘提取，方法简单(Edge detection using sobel operator of image edge extraction, simple)

基于元胞机的机器人绕行障碍，完美运行，找到最佳路径(Cellular machine-based robot bypass obstacles, the perfect run to find the best path)

HMM工具箱。包括算例。(HMM toolbox, including a few examples, to facilitate learning )

BPSK QPSK MSK 16QAM四种调制方式误码率对比(BPSK QPSK MSK 16QAM modulation error rate comparison of four kinds)

层次分析（AHP）/网络分析（ANP)Analytic Hierarchy Process是一种十分实用的决策方法。 是对一些较为复杂、较为模糊的问题作出决策的简易方法，它特别适用于那些难于完全定量分析的问题 num:包括目标层和方案层的总层数 g:行向量（各层准则数量，包括目标层（第一层）和方案层（最后一层））。 w：返回值w是最后决策的方案层的权重，根据输出选择最佳方案 在输入矩阵时请加‘[]’号，否则会出现语法错误。 调运方式：w=hierarchy(num,g)( Analytical Hierarchy (AHP)/Network Analysis (ANP) Analytic Hierarchy Process is a very practical approach to decision making. Is the easy way of making some of the more complex, more ambiguous issues make it particularly difficult for those who complete quantitative analysis of the problem num: The total number of layers including the target layer and the solution layer g: row vector (layers Guidelines number, including the target layer (first layer) and program level (the last level)). W: w The return value is the right solution layer of the final decision of the heavy, choose the best option based on the output when the input matrix please add ' []' No, there would be a syntax error. Transporting way: w = hierarchy (num, g))

platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)