dec2hexWithSign

交互式多模滤波器的程序，可广泛应用于目标跟踪(IMM_filter)

compressive sensing theory

对信号进行小波变化，找出QRS波形，并利用不同方式进行消噪，从而用图形比较效果(It find the QRS wave of an input signal using wavelet transform and depress noise using several ways,so compare their figure.)

实现基于PSO的混合粒子优化算法,具有很好的稳定性和快速性(Search algorithm based on hybrid particle swarm optimization algorithm based on TSP)

限元法的matlab实例程序，非常详尽，适用于初学者(Examples of application of the finite element method to solve the partial differential equation (program has explained) )

生成多点地震动，多点激励，地震动的空间变异性。(spatial variation of earthquake ground motion，non-uniform excitation。)

Comparison of QR Factorization Algorithms (Matlab script)

computing zeros of functions and then combines three of the basic methods into a fast,

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.)

AM mod and demod using matlab and simulink(AM mod and demod using matlab and AM mod and demod using matlab and )