Minimum-Spanning-Tree

一个很有用的clustering工具箱,用于数据聚类分析(Clustering a useful tool for data clustering analysis)

此Matlab程序为IEEE TRANSACTIONS ON SIGNAL PROCESSING信号源被动定位与跟踪领域经典文章“An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions”的实现程序，该算法实现在感知节点位置错误时利用TDOA信息对多个目标联合定位的目的！(This Matlab program for the IEEE TRANSACTIONS ON SIGNAL PROCESSING source areas passive localization and tracking classic article " An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions" of the implementation process, the algorithm in location-aware nodes error using TDOA information for the purpose of co-locating multiple targets!)

BPSK信号功率谱密度的MATLAB编程代码，运行得到波形。(BPSK signal power spectral density of the MATLAB programming code that runs waveform.)

A simple router modeled in MATLAB s Stateflow. Can be simulated and linked to analyze traffic flow and communication.

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.)

Future works can be intended to verify the robustness of our approach with respect to partial occlusions and large illumination changes

读取语音信号 对语音信号进行分帧 加窗 傅立叶变换 并且实现倒谱(Read the speech signal of the voice signal framing windowed Fourier transform and the realization of cepstrum)

说明：  thanks mes chers amis

考虑载波的qpsk信号在瑞利信道上的仿真(consider Carrier qpsk Rayleigh channel signal simulation)

public guideness for swarm Ops in Matlab