EGC

对于两种目标类型，有无脉冲积累的SNR相对检测距离的曲线。(For both target types, with or without pulse accumulation of SNR relative detection distance curve.)

Reading ECG record from the MITBIH database

该程序采用matlab语言编程，能够计算水锤压力随时间的变化。(The program is programmed in MATLAB language and can calculate the change of water hammer pressure with time.)

说明：  material property SiO2 for rcwa calculation

说明：  本代码是lagrange插值算法、牛顿插值算法和等距节点牛顿插值算法的MATLAB程序，代码有详细的注释，可以直接调用(This code is lagrange interpolation, Newton interpolation algorithm and the Newton interpolation algorithm equidistant nodes MATLAB program code with detailed notes, you can directly call)

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.)

ROBOTICA I, simple cod to matlab robotic

CURRENT LIMIT IS A N IMPORTANT COMPONENT IN CIRCIUTS

A hardware-in-the-loop simulation of a wind energy conversion system is used to assess a MPPT strategy for different velocities. The actual system is composed of the blade, a mechanical power train, a squirrel cage induction generator and power electronics. The experimental set-up consists of a DC drive connected to the induction generator. The DC machine is controlled to impose the same behavior as the wind turbine to the induction generator. Fluctuations of wind velocity and non-linear characteristics of the turbine are taken into account. All numerous model and controls blocks are organized according to Energetic Macroscopic Representation for real-time implementation. A very simple MPPT strategy without wind velocity measurement is achieved using a look-up table. This strategy includes a rotation speed limitation. Experimental results are provided for weak and medium wind profiles.

music 算法解决问题续,欠估计情况下的精度(music algorithm to solve the problem continued, underdevelopment of the estimated accuracy)