EMD

此程序为MATLAB实现的配电网33节点潮流计算，方法为前推回代法。(MATLAB realization of this program for the distribution network 33 nodes in power flow calculation, and methods for the former to push back on behalf of the law.)

Matrix - algebra computing. All algorithms in matlab style(Matrix- algebra computing. All algorithms in matlab style)

assignmant for array antenna

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

Describes how to find the theta value in CPFSK

本书介绍了matlab在光学方面的应用，很详细，给出了很详细的例子(This book describes the application of optical matlab, very detailed, very detailed examples are given)

Monte carlo simulation-easy to use

this small file used for counting of exterima

基于Matlab的卡尔曼滤波器的实现与仿真代码，验证成功(Based on Matlab Kalman filter implementation and simulation code, the validation is successful)

对图形进行边缘检测并输出边缘点和该点所在处的灰度变化率。(edge detection and output the edge point and its corresponding gradient.)