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一个三维时域有限差分Finite Difference Time Domain, FDTD程序。希望对大家有所帮助。(A three-dimensional Finite Difference Time Domain, FDTD program. Hope helpful.)

solving travelling salesman problem in matlab using neural network(cohonen algorithm)

Matlab的多目标遗传算法，方便大家直接使用(Multi-objective genetic algorithm in Matlab )

通信原理时域均衡部分的五抽头迫零均衡器，很有用(Five tap the communication domain equalization principle part of zero-forcing equalizer, useful)

雷达辐射源信噪比特性程序，其中包括cw、psk、fsk、lfm、nlfm等几种信号(Radar emitter signal-to-noise ratio of the characteristic procedures, including cw, psk, fsk, lfm, nlfm several signal)

利用matlab将excel文件中的数据导入或导出，介绍相应函数的用法(Using matlab to excel file import or export data to introduce the usage of the corresponding function)

Wound-field synchronous motors are well-known in industrial drives requiring constant speed irrespective of load. Separately controllable dc excitation in the form of dc field current is a unique feature in the power factor control of such a motor the lagging to leading mode.

WSR maximization algorithm for MIMO networks using WMMSE

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

随机过程中利用生灭过程对于不同的排队方式进行效率讨论(Random process using a birth-death process for different queue mode efficiency discussion)