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Test MTP neural network.

说明：  APIT定位算法的matlab程序，APIT是一种经典的无线传感器网络定位算法。(APIT localization algorithm matlab program, APIT is a classic location algorithm for wireless sensor networks.)

online face tracking from offline face detection GUI

plan position indicator by matlab for radar application in detection by elecromagnetic wives

These four files are intended for addingdeleting nodes and edges in biograph object

Calendar conversiono为日历转换代码，可以将阳历转变为阴历，也可将阴历转变为阳历(Calendar conversiono for the calendar conversion code, can be transformed into the lunar solar calendar lunar calendar, also can be converted to the Gregorian calendar )

基于MATLAB利用Particle-in-cell模型,对梯形管内壁等离子体离子注入过程,进行了二维数值模拟.计算结果表明在中心电极附近出现了“阳极鞘层”,该鞘层内部不存在离子,而且在鞘层边缘离子密度最高.在上下管壁上的离子注入剂量呈现“m”形分布.通过对注入过程中等离子体密度分布和不同时间段管壁不同位置离子注入剂量的跟踪,发现“阳极鞘层”扩展行为是导致“m”形分布的原因.由于梯形管形状的不对称性,“阳极鞘层”的边缘向梯形长底方向扩展较快.在注入初始时刻离子注入的能量很低,随着时间延长离子能量逐渐升高,这是由离子初始位置决定的.可见梯形管自身形状决定了鞘层形状和最终的离子注入能量和剂量分布.(Based on MATLAB use Particle-in-cell model, the trapezoidal pipe wall plasma ion implantation process, the numerical simulation of two-dimensional calculation results show that in the vicinity of the center electrode to a "anode sheath," which does not exist inside the plasma sheath, and the highest in the sheath edge ion density ion implantation dose showing the upper and lower walls of the "m"-shaped distribution through the process of injecting the plasma density distribution and the wall at different locations in different time periods ion implantation dose tracking, found that "anode sheath "extension behavior is leading to" m "-shaped distribution of the reasons due to the asymmetry of the trapezoidal shape of the tube," Edge anode sheath "extension to the end of a long trapezoid direction quickly in the initial moment of implantation energy ion implantation is low ion energy with time gradually increased, which is determined by the initial position of the ion. visible trapezoida)

matlab檔案，用於讀取nmea檔案，將NMEA檔案輸出成一個Class架構值(read and parsing NMEA file)

使用深度神经网络解决无线网络中资源分配问题(Using deep neural networks to solve the problem of resource allocation in wireless networks)

DBN的实现（DeepLeranToolBox）举例(an example for DeepLeranToolBox)