temperatura-en-labview

Particular solution of Ax=b.

基追踪算法，BP，求解压缩感知一范数模型(Basis puisuit algorithm used for Comprssed sensing model)

实现车牌定位 matlab程序 对车牌进行分割提取(License Plate Location realize matlab program to extract license plate segmentation)

FDTD Finite-Difference Time-domain in free space no ABC FDTD(t) runs FDTD for time t. FDTD implements the FDTD/staggered leapfrog scheme over time 0-max_time and space 0-max_space. This program simulates a gaussian pulse in the grid specified with max_time and max_space. The pulse is sent from the center of the problem space and disperses in both directions -Kira Heater

说明：  ou should upload at least five sourcecodes/do

it is related to bug algorithm in motion planning

说明：  采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

VQ的简介与应用说明，并介绍如何在MATLAB中进行仿真应用，值得学习(The introduction and application of VQ, and introduces how to carry on the simulation in MATLAB application, worth learning)

该MATLAB代码描述的是关于地震波动方程的正演模拟。(The MATLAB code is described about the earthquake wave equation forward modeling.)