textures

it is used to count the coin in the box using matlab

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.)

这是用matlab编写的一个源程序，希望对大家有用，不足之处还请大家谅解(This is a source code written in matlab, want to be useful, the inadequacies also please understand)

用于自动批量提取不同图像坐标位置的激光光带图像的中心，并将批量处理结果依次显示在一张输出图像中，输入为批量的激光光带图像，输出为激光中心坐标并做图显示(Different images for automatic batch extraction center coordinate positions with images of laser light, and the batch processing results in order to display the image in an output, the input for the bulk of the laser light with the image coordinates of the center and the laser output is done diagram shows)

说明：  使用matlab调用refprop，计算各种制冷剂工质的物性数据(refprop used in matlab)

用matlab仿真0到9十个数字的语音识别(Matlab simulation with the 10 numbers 0 to 9 Speech Recognition)

最简单的matlab排队论的资料 大家喜欢的额话随便下载 如果能够对你有用这就是这段代码的最大价值了(The most simple matlab queuing theory You like the words literally download If it can be useful to you this is the maximum value this code)

Improving compact gravity inversion using new weighting functions

说明：  最大信噪比盲源分离算法 该算法参考文为 给予最大信噪比的盲源分离算法 《计算机仿真》 2006.2(Maximum signal to noise ratio Blind source separation)

基于PCA算法的matlab人脸识别代码及附注(Face Recognition.)