CMAcode

：Matlab遗传算法(GA)优4~-r-具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合 函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异 操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA改进，只需改写函数m文件形式即可。(: Matlab genetic algorithm (GA) U 4 ~-r-a box is based on the basic operation and termination conditions, binary and decimal conversion operation, such as a comprehensive function library. The realization of these steps include: input and output functions through the genetic algorithm to derive the main function, initial population generation function, the use of selection, crossover, mutation operation to achieve the basic function of genetic manipulation. Simulation in order to function as an example, the GA function optimization and improvement, just rewritten m the form of a document can function.)

胡光书的《现代数字信号处理》课后习题的答案~是课后习题不是例题啊(Hu book " Modern digital signal processing" after-school After-School Exercises answer ~ is not the Example ah Problem)

slam仿真工具箱，包含slam的matlab仿真源程序以及slam学习程序(slam simulation toolbox, matlab simulation source code contains slam and slam learning process)

一维无约束遗传算法，程序简单明了，容易理解推荐下载(Generation Algorithms)

利用主分量分析(PCA)进行模式识别，包括主分量分析运算的主要函数，以及相关应用的例子。(Using principal component analysis (PCA) for pattern recognition, including the principal component analysis of the main function of computing, and related application examples.)

粒子群算法求解旅行商问题的MATLAB源代码(MATLAB source code of the PSO algorithm for solving the traveling salesman problem)

考虑章动、极移、岁差下历元时刻月球在瞬时平天球坐标系，J2000协议地固系，WGS-84坐标系下的位置速度矢量及转换的matlab源程序(Consider nutation, polar motion, precession next epoch in the instantaneous level of the moon celestial coordinate system, J2000 protocol to the solid line, the position and the velocity vector conversion WGS-84 coordinate system matlab source)

说明：  模型是在模糊集合理论和概率理论进行交叉渗透的基础上构造的特定算法，即云发生器，进行定性概念和定量表示之间的不确定转换，它揭示随机性和模糊性的内在关联性。在此利用实例解释云模型的应用。(Model is based on a specific algorithm of fuzzy set theory and probability theory on cross-permeable structure, namely cloud generator, be uncertain conversion between qualitative concept and quantitative representation, which reveals the inherent randomness and fuzziness relevance. In this application the use of examples to explain the cloud model.)

说明：  龙格库塔程序源代码，用于解微分方程或微分方程组，给初学者作为参考。(Runge-Kutta program source code for the solution of differential equations or differential equations, as a reference for beginners.)

有关MIMO方面的各种仿真源代码，值得一看。特推荐(MIMO simulation on various aspects of the source code, worth a visit. Special Recommendation)