data

基于ofdm信道估计的matlab源代码(Based on ofdm channel estimation matlab code)

基于方向微分的运动模糊方向确定 该方法具体可参见张朝阳的“直线运动模糊图像的点扩展函数的研究”(The direction of motion blur based on the direction of determining differential)

说明：  一个用于CDPD调制解调器参数设置的程序。(a CDPD modem for parameter setting procedure.)

am need of matlab files regarding fingerprint recognition. please provide me the same on accepting my programs

基于lms_newton算法的回波消除，直接可以使用(Based lms_newton echo cancellation algorithm, can be used directly)

考虑噪声和弱行波的对测量影响的配电网行波测距。在PSCAD上搭建模型仿真获得数据导入MATLAB进行小波分析，最终实现故障测距，精度达到102m，(Consider the impact on the measurement of the distribution network traveling wave noise and weak traveling wave. Built on the model simulation PSCAD get data into MATLAB wavelet analysis, the ultimate realization of fault location with an accuracy of 102m,)

说明：  MATLAB多目标搜索算法工具包，包含了各种测试函数(MOEA toolbox for MATLAB)

fuzzy pid control motor

MEDLL算法多径参数估计，2012b上可以运行，添加了高斯白噪声； 应用于多径检测和抗多径； 函数的输入是相关峰采样；(MEDLL Multipath parameter estimation algorithm can be run on the 2012b, add Gaussian white noise used in multipath detection and anti-multipath input function is the correlation peak sampling )

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.)