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fish 快速图象分割 内含4个Matlab应用程序

说明：  高等数学实验（胡良剑） 数学实验工具箱 (Higher mathematics experiment (Liang-sword) Math lab kit)

Load frequency control simulation in matlab simulink software

A Topic Modeling Toolbox Using Belief Propagation，一种用BP算法建立主题模型的算法，计算速度较快。有说明文档。(A Topic Modeling Toolbox Using Belief Propagation, a topic model established by BP algorithm algorithm to calculate faster. There documentation.)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is based on space-time block coding MIMO_OFDM communication system simulation design. This system includes the QPSK modem, IFFT modulation, space-time coding and decoding, symbol-based channel estimation training and other communication module.)

color transformation by matlab

MATLAB实例，对学习有用,MATLAB实例，对学习有用MATLAB实例，对学习有用MATLAB实例，对学习有用(MATLAB is good for you,thank.MATLAB is good for you,thank.MATLAB is good for you,thank.)

说明：  采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

学校做的项目源码，运用粒子群算法求解矩阵特征值。粒子群算法注释比较详细，想研究粒子群的同学可以借鉴看看。(Schools do the project source code, the use of particle swarm algorithm for solving matrix eigenvalues. Particle Swarm comment in more detail, the students want to study particle swarm can learn to see.)

matlab学习教程，美国MIT教学使用的很不错的例子，有矩阵奇异值分解、最小二乘拟合、矩阵正交化算法等(MIT teaching learning matlab tutorial, the United States is very good example of matrix singular value decomposition and least squares fitting, matrix orthogonalization algorithm, etc)