rectpuse_laxwendroff_onestep.m.tar

非线性规划的Matlab源码，包括很多测试函数。(Matlab source code for nonlinear programming, including many test functions.)

说明：  光谱的中心化处理算法去除一些噪声信息，使建模更精确稳定。(The center of spectral processing algorithms to remove some noise information, so that more accurate modeling stability.)

This is matlab simulation source code for ASP digital communication system.

基于代数理论的空时分组码的研究，利用球形译码(Based on the algebraic theory of space-time block codes by using the sphere decoding)

Cell Center users Interference calculation

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

说明：  用matlab编辑的ostu算法，很好用，能计算出全局阈值并输出处理后图像(Ostu algorithm using matlab editor, useful, able to calculate the global threshold and the output processed images)

Kmeans.m对UCI数据集中的鸢尾花数据集进行kmeans算法聚类, Iris.txt 鸢尾花数据集 KMeans.m 鸢尾花KMeans聚类算法代码 test1.m，test2.m 鸢尾花算法测试集 包含数据的归一化 DataNorm.m数据归一化代码，DataStandard.m数据标准化代码 恩达老师的MATLAB视频中的代码 code(Kmeans.m clusters the kmeans algorithm for the Iris dataset in the UCI dataset, Iris.txt Iris dataset KMeans.m Iris KMeans clustering algorithm code test1.m, test2.m Iris algorithm test set Normalized data containing dataNorm.m data normalization code, DataStandard.m data normalization code The code in the MATLAB video of Teacher Enda the code is the code in the video.)

This is one of the best otmization numeric method.

这是时频分析的MATLAB源码 xi wang dui gao xinhao chu li de tong zhi you bangzhu(xi wang dui gao xinhao chu li de tong zhi you bangzhu)