FIS-desing

fdtd 3d simulation in matlab

解决最大流问题，使用Ford_Fulkerson算法。程序中包含例题。(Solve the maximum flow problem, to use Ford_Fulkerson algorithm. Examples included in the program.)

The project for matrix mutltiplication in assembly x86 language.

BOC调制系统，扩频序列为复合序列，系统误码率分析(BOC modulation system, the spreading sequence is a composite sequence BER Analysis)

人工神经网络算法matlab编写，内附程序部分说明与本人学习笔记(Artificial neural network algorithm matlab prepared, containing part of the program description and my study notes)

多传感器数据融合：matlab仿真程序实现多传感器数据融合算法(Multi-sensor data fusion: matlab simulation program to achieve multi-sensor data fusion algorithm)

说明：  杂波的一个MATLAB仿真，杂波的产生：先生成一个（0，1）分布的随机数r，让后根据poission分布产生杂波的个数n，这n个杂波是服从均匀分布(Clutter a MATLAB simulation, the resulting clutter: a President (0,1) distribution of the random number r, let poission distributed according to the number of clutter have n, that n is subject to a uniformly distributed clutter)

文件包括：1.计算平均最短路径；2.计算每个顶点相邻节点的平均度；3.计算每个节点的邻近中心度；4.计算节点的介数（slow）；5.计算节点的介数（faster）；6.计算每条边的介数值；7.快速迪杰斯特拉算法；8.经典迪杰斯特拉算法。(1.the average shortest path in the graph 2.the average degree of neighboring nodes for every vertex 3.computes the closeness centrality for all vertices 4.node betweenness, (number of shortest paths definition) 5.a faster node betweenness algorithm 6.edge betweenness, (number of shortest paths definition) 7.simple Dijkstra, does not remember the path 8.Dijkstra which also returns the shortest paths.)

说明：  在聚类分析中,模糊c-均值算法是应用最广泛的聚类算法之一,针对该算法对初始化敏感,容易陷入局部极小点的缺点,论文提出了一种基于核的模糊聚类算法.在算法中将核方法与模糊可能性算法相结合,将模糊c-均值算法结果作为初始中心,放松了对隶属度归一化的条件,对噪声有更好的处理能力.IRIS数据和人造数据的实验结果表明该算法的有效性(Chun-Fu Lin,Sheng-De Wang.Fuzzy support vector machines.[J].IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council,2002,13(2).464-71.)

k-近邻算法 m文件 及其excel示范(this package invulved a m-file example of k-nearest neighbour and its corresponding excel file)