MATLAB_LJUD

Return mahalanobis distance of two data matrices A and B (row = object, column = feature)

Matlab 学习资料 PDF MATLAB是MATrix LABoratory的缩写，是一款由美国MathWorks公司出品的商业数学软件。MATLAB是一种用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。除了矩阵运算、绘制函数/数据图像等常用功能外，MATLAB还可以用来创建用户界面及与调用其它语言（包括C，C++和FORTRAN）编写的程序。(Matlab language tutoria MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, and Fortran.)

vibration poutre, diagnostic, rdm, bearing, gearbox, induction machine, my target is to make vibratory analysis and to extrac default origine frome current and vibration signal

使用RSSI实现室内定位，在RSSI的算法下搭建定位模型。有可运行的源代码。(Using rssi indoor positioning)

说明：  雷达回波模块当中的干扰噪声以及杂波噪声的仿真程序(Radar module which noise and clutter noise interference emulator)

非常齐全的无线传感器网络在matlab下的仿真程序(wsn matlab simulator)

Interconnect line capacitance and coupling effect

维纳滤波器在图像处理中的应用，可以高斯模糊等等(Wiener filter in image processing applications, Gaussian blur, etc. can be)

本程序利用平方环实现载波同步，使用锁相环进行跟踪相位偏移(This program makes use of the square ring to achieve carrier synchronization, with the use of PLL to track the phase shift)

利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。 根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)