OCR

AUTOMATIC SPEAKER RECOGNIZATION AND IDENTIFICATION USING GMM.HERE READ SIGNALS FROM EAR PHONES

有限差分波场模拟利用声波方程进行有限差分正演模拟。(the simulation of acoustic wave.using the acoustic wave equation. in the program i deal with the edge and the result.)

说明：  线性规划问题经典算法，matlab编写。(Linear programming problems classical algorithm, matlab prepared.)

对原始数据进行弱化处理的程序。用MATLAB编制(Weakening of the raw data processing procedures. Compiled with MATLAB)

经典的关于aster数据处理的文档。ASTER搭载在Terra卫星上的星载热量散发和反辐射仪，是于1999年12月18日发射升空的，由日本国际贸易和工业部制造。(Classic on the aster data processing documents. ASTER carrying the Terra satellite on-board heat distribution and anti-radiation device, was December 18, 1999 launched by the Japanese International Trade and Industry Manufacturing.)

说明：  5种不同类型的PCB可以用这个工具实现互相转换(5 different types of PCB can use this tool to achieve mutual conversion)

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.)

MATLAB 编译 java 用户手册，官方指南，说明很详细(MATLAB Builder for Java Users Guide)

k-means聚类算法在MATLAB的实现(k-means clustering algorithm in MATLAB implementation of)

使用带通滤波器对图像进行处理，其中daitongfilter。m是带通滤波器函数(The use of band-pass filter for image processing, which daitongfilter. m is the band-pass filter function)