temex_tc

用matlab实现对语音信号的短时分析，包括清音和浊音的判决，基音周期的估计，实验报告。(use matlab language analysis the speech signal,contains the analysis for unvoiced sound and voiecd sound.)

本程序包含魏格纳分布及平滑伪魏格纳分布的两个matlab函数，适用于信号时频处理(The program includes Smoothed Pseudo Wigner distribution and Wigner two matlab function, frequency treatment applies to the signal)

Matlab gui ,about matlab gui importat info

L obstacle caméra à franchir ou à contourner

matlab下的3电平VSC系统模型，对于初学者很有帮助，建议大家多多交流，互相帮助(The 3-level VSC system model under matlab is very helpful for beginners. It is recommended that you exchange more and help each other.)

通过独立分量分析，来实现盲源信号的分离。程序简单易懂，适合初学者(Done by independent component analysis and blind source separation of signals. Program is easy to understand, suitable for beginners )

最新版的SVM工具箱，从新编译了qp.dll,解决了高版本不能运算的问题(The latest version of SVM toolbox, recompile the qp.dll, version can not solve the problem of high computing)

摄像机标定新算法,用一个子函数计算出两组运动组的参数本程序用于调试摄像机标定新算法这个程序在原来的基础上改变了部分返回值，将标准离差改为均方值的计算加入标定整体误差计算，运动复原和三维复原整体误差计算应先用计算出的平移矢量进行三维复原，从得出的点对统计其z方向为正的个数，多者为正确的平移矢量 (new camera calibration algorithm Functions with a calculated exercise group were the parameters of the testing procedures for the new camera calibration algorithm of this procedure in the original change based on the return of some value, the standard deviation to the mean square value calculated by adding the overall calibration error terms, 3D sports rehabilitation and recovery overall error calculation should be calculated using the 3D vector translation recovery, derived from the statistical point of its z direction as is the number, the greater the correct translation vector)

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.)

码率为1/2，采用16qam调制的四发射天线matlab仿真(Rate 1/2, using four transmit antennas 16qam modulation matlab simulation)