LCLsingle_ok

均匀光栅C++仿真程序，传输矩阵法，方便学习(Uniform grating matlab simulation program, transfer matrix method)

用G_P方法计算关联维数，设置步长为100，可以自行设定。(Correlation dimension calculation method used G_P set in steps of 100, you can set their own.)

概率统计 matlab求解 参数估计 假设检验 方差分析等(Probability and Statistics matlab to solve the parameter estimation and hypothesis testing analysis of variance)

SATELLITE COMMUNICATION SYSTEMS. its ppt format.basics about SATELLITE COMMUNICATION SYSTEMS

matlab的一些实例，适用于初学者，很多有用的例子(Some examples of matlab for beginners, many useful examples)

求脉率的小demo，有任何问题可以联系我。(A demo about the value of pulse rate .If there any questions ， you can contact me.)

基于颜色的图像分割算法，具体利用的方法可以参考里边的文献，已调试，可以正常使用。(Image segmentation algorithm based on color, the specific use of the method can refer to the inside of the literature has debugging, can be used normally.)

Time Frequency Multiplex Preamble Design for Joint I1Q Imbalance, CFO and Channel Estimation in OFDM Systems IEEE Paper

说明：  分形图像压缩原始算法，包括压缩和解压。 根据Jacin的分块压缩原理(fractal image compression original algorithm, including compression and decompression. According to the sub-block Jacin compression Principle)

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.)