电阻层析成像逆问题的仿真研究

应用MATLAB实现连续信号的采样与重构仿真(Application of MATLAB to achieve continuous signal sampling and reconstruction of simulation)

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.)

利用追赶法求解三对角线性方程组，matlab程序代码(chasing method)

Press Numerica Methods in Engineering with MATLAB 2005

说明：  应用matlab为ue的移动性进行仿真。包括速度，与bs夹角等模拟(Applications for the ue of the mobility matlab simulation. Including speed, the angle between the simulation and bs)

matlab编程，画出一段语音的语谱图，在不同时间声音的不同频率，可以比较出有声段和无声段的能量不同。(Matlab programming, draw the spectrogram of a voice, the sound of different frequencies in different time, you can compare audio segment and the energy of the silent segment.)

说明：  脉冲多普勒雷达的matlab仿真，包裹下变频、脉冲压缩、MTI和MTD。(Matlab simulation of pulse Doppler radar, including down conversion, pulse compression, MTI and MTD.)

局部线性嵌入算法，由laurance等人于2000年science上发表，广泛应用于图像处理模式识别等领域，是一种流形学习算法。(the algorithm of locally linear embedding)

OFDM的调制过程，已经运行过，比较不错，过程很清晰(OFDM modulation process has been run before, quite good, the process is very clear)

该工具箱通过实际案例细介绍了matlab用于数据统计分析 中具体的算法和代码