KSVD_Matlab_ToolBox

Bit Error probability for different modulation schemes

说明：  OFDM系统的PAPR性能与分割方式有关，但除此之外还与输入数据的子分组数V、相位集合中的相位数P以及子载波数量N有关。下面，对各种条件下PTS-OFDM系统的性能进行了仿真。(PAPR performance of OFDM systems and partitions the way, but in addition to the input data, the number of sub-group V, number of phases in the collection phase P and N on the number of subcarriers. Here, a variety of conditions PTS-OFDM system performance is simulated.)

Probability Detection Using Q Function

state estimation for navigation system

基于matlab的图像压缩的程序，改变不同的QF得到不同的压缩图像(compact picture)

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.)

说明：  用matlab开放环境实现了对数据的非线性回归，方便好用，直接将数据输入到程序中，便可以实现对数据的非线性回归(Open environment with matlab realize the non-linear regression of data, easy to use, enter data directly into the program, you can achieve non-linear regression of the data)

克里格法是地统计学的主要内容之一，从统计意义上说，是从变量相关性和变异性出发，在有限区域内对区域化变量的取值进行无偏、最优估计的一种方法；从插值角度讲是对空间分布的数据求线性最优、无偏内插估计一种方法。(Kriging method is one of the main contents of geostatistics. Statistically speaking, it is a method of unbiased and optimal estimation of regionalized variables in a limited area from the point of view of correlation and variation of variables; from the point of view of interpolation, it is a method of seeking linear optimum and unbiased interpolation estimation of spatial distribution data. Law.)

非线性滤波的程序，里面包含扩展卡尔曼滤波和无迹卡尔曼滤波滤波，可应用于很多非线性系统(Nonlinear filtering process, which includes extended Kalman filter and unscented Kalman filter filtering can be applied to many nonlinear system)

说明：  数字信号处理对于信号的基本matlab运算操作，有助于理解信号(The basic matlab operation of digital signal processing is helpful to understand the signal)