matpcl

GPS基本原理及其matlab实现，包含用户位置求解仿真，GPS卫星动态仿真，C/A码的仿真和调制等(Matlab implementation of the basic principles of GPS, including the location of the user to solve simulation, GPS satellite dynamic simulation, C/A code simulation and modulation)

Overview on OFDM, describes the OFDM system and parameters and basic concepts on OFDM techniques.

预测达到代谢通量最优分布而进行双基因敲除的matlab例程(Forecast to achieve optimal metabolic flux distribution for double-gene knockout of matlab routines)

在多目标灰色狼优化器（mogwo），固定大小的外部文件集成到该gwo保存和检索的帕累托最优解。该档案被用来定义社会等级，并在多目标搜索空间中模拟灰狼的捕猎行为。(In the Multi-Objective Grey Wolf Optimizer (MOGWO), a fixed-sized external archive is integrated to the GWO for saving and retrieving the Pareto optimal solutions. This archive has been employed to define the social hierarchy and simulate the hunting behavior of grey wolves in multi-objective search spaces.)

STT using matlab, back groud reconstruct(STT using matlab,back groud reconstruct)

运用matlab编写，可用于一维信号压缩，经验证应用效果较好。(Using matlab prepared for one-dimensional signal compression, proven applications better.)

将源码保存为.m文件，程序生成logR/S，在matlab中循环调用这个文件，生成多个不同时间尺度的logR/S，然后求出logR/S与logN的直线斜率即是Hurst。(Will be saved as a source. M documents, procedures to generate logR/S, in the cycle of calling matlab in this document, to generate a number of different time scales of logR/S, and then calculated logR/S and the linear slope of logn is Hurst.)

this is a zip file for showing how particle swarm optimization find g_best with matlab.

说明：  利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动(Use Dijkstra algorithm to find the shortest path network diagram to find the starting point P1 to the end of Pn from the shortest path algorithm is used as the midpoint of the condition of cable, not the entire optimal path planning of space, and then use genetic algorithm to find shortest path of each path points Pi (i = 1,2, ... n) adjusted to the path of obstacles in the corresponding endpoint connection point slide)

A commonly used control device called a programmable logic controller, or a PLC, is used to read a set of digital and analog inputs, apply a set of logic statements, and generate a set of analog and digital outputs. Using the example in the previous paragraph, the room temperature would be an input to the PLC. The logical statements would compare the setpoint to the input temperature and determine whether more or less heating was necessary to keep the temperature constant. A PLC output would then either open or close the hot water valve, an incremental amount, depending on whether more or less hot water was needed. Larger more complex systems can be controlled by a Distributed Control System (DCS) or SCADA system.