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Plot π/4-DQPSK passband waveform.ASK,FSK,MSK waveform

三维FDTD的UPML吸收边界条件下的C程序(The three-dimensional FDTD UPML absorbing boundary C program)

ldpc编译码程序，本文档是由matlab编写(运行时，请将alist_2_sparse的下划线去掉：alist2sparse)(ldpc codec program (matlab source))

Script for computing the SNR loss due to frequency offset in OFDM modulation

马尔科夫链的matlab仿真，网上找到的，和大家分享一下(simulation of Markov Chain with Matlab)

基于Hopfield神经网络对符号进行识别。 根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。 (Hopfield neural network based recognition of symbols. Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.)

图像的几何矫算法及其用MATLAB实现的代码，内容全面，包含图片(The geometry of the image by algorithm and MATLAB code, comprehensive, including pictures )

matlab 开发通信协作通信仿真程序，以及优秀的论文(matlab simulation about cooperative wireless communications ,relay selection and intercell interference)

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.)

K近邻法的matlab程序，发现大家都在找它！(K-nearest neighbor method of Matlab procedures, I found that we all have to find it!)