modul3_FDTD

多任务压缩感知算法的相关代码。代码良好，可以运行。(Multitasking compressed sensing algorithm related code)

说明：  D-star路径规划算法，部分matlab程序(D-star path planning algorithm, part of MATLAB program)

流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。(LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space.)

standard winner channel

simulates the temperature distribution in a rod.

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.)

通过广播星历和精密星历实现GNSS数据的快速解算(The fast calculation of GNSS data is realized by broadcast ephemeris and precise ephemeris)

说明：  负载均衡调度问题：假设有N个任务，需要负载均衡器分配给M个服务器节点去处理。每个任务的任务长度、每台服务器节点（下面简称“节点”）的处理速度已知，请给出一种任务分配方式，使得所有任务的总处理时间最短。CreateData文件(Load balancing scheduling problem: suppose there are n tasks, which need to be allocated to m server nodes by load balancer. The task length of each task and the processing speed of each server node (hereinafter referred to as "node") are known. Please provide a task allocation method to minimize the total processing time of all tasks.CreateData)

用于描述图形周围GVF力场分布图，必须有前置的GVF源码，这个代码才能发挥作用(GVF force field used to describe the graphics around the map, must have front of the GVF source, this code can play a role)

说明：  卷积码仿真程序,matlab仿真，得到误码率曲线，在不同码率和生成码字下对应不同的纠错能力，反应在误码率曲线上(Convolutional code simulation program, matlab simulation, bit error rate curves obtained at different bit rate and generate the next code word corresponding to different error correction capabilities, reflected in the error rate curve)