matlab-source-code

ide86.rar单位脉冲，单位阶跃，正弦函数等连续信号的MATLAB表达式。.. (ide86.rar pulse units, unit step, Sine function as a continuous signal MATLAB expression. ..)

matlab的详细说明，及叙述的方法及类别。简单语句的详细说明。(Matlab the detailed descriptions, and describes the methods and categories. Simple statement of detail.)

这段代码使用matlab实现匈牙利算法的匹配问题(This algorithm allows you to find the minimum weight matching of a bipartite graph. The graph can be of arbitrary size and connectedness. The edge weights are captured by a MxN weight matrix where an infinite(Inf) weight designates that that pair of vertices given by that position are not connected.)

99b第一问解答 用matlab实现的 有点简单啊(To answer the first question 99b achieved with a little simple matlab ah)

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.)

lab of antenna how it performs

描述jakes模型的衰落信道。程序已经测试过。(Description jakes fading model. Procedures have been tested.)

％CreateRefChannels.m，可以参考一哈，对于数字信号处理有用(CreateRefChannels.m%, a reference to Kazakhstan, For digital signal processing useful)

MATLAB数字信号处理代码及ppt，源码和PPT教学文档(MATLAB digital signal processing code, and ppt, source, and PPT teaching document)

基于MATLAB的基础分水岭算法及改进算法的实现(the application and the improvement of the watershed algorithm )