MATLAB_allorder

ISAR雷达回波距离单元校正方法研究，可以用matlab实现(ISAR radar echo from the unit correction can be implemented using matlab)

DTMF的GUI界面生成，显示电话按键，生成信号，画出功率谱(GUI interface to generate DTMF, display the phone keys, generates a signal, draw power spectrum)

this matlab source code is basic

Solving Nonlinear Equations

FLch7BNNeg1.zip--改进的神经网络MBP算法对噪声系统辨识程序(FLch7BNNeg1.zip-- improved neural network algorithm for noise MBP system identification procedures)

parsing header values into elements.

基于粒子滤波的故障检测,使用似然函数作为检测函数(Particle filter-based fault detection, the use of likelihood function as a detection function)

matlab7小波分析书中的例子，例子很全希望能够有用(Wavelet analysis matlab7 examples of the book, for example, is the whole hope to be useful)

说明：  利用博弈论进行功率控制分析,利用迭代实现纳什均衡(Use game theory to power control analysis, the use of iteration to achieve Nash equilibrium)

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.)