Introduction-to-Matlab

某家电企业在全国二线城市的年销售量Y(单位：万台)与该城市人口数X1(单位:万人)以及该市人均月收入X2(单位:元)之间的关系，在某年对15个城市作了调查，得上述各量的观测值（见数据表data1.txt）(A household electrical appliance enterprises in the country in sales of second-tier cities, Y (unit: million units) and the urban population, the number of X1 (unit: million) and the city' s per capita monthly income X2 (unit: yuan) between, in a particular year made a survey of 15 cities, was the amount of the above observations (see data sheet data1.txt))

西安电子科技大学有关阵列信号处理的课件，非常实用，欢迎下载(Xi an University of Electronic Science and Technology related courseware array signal processing, very practical, welcome to download)

特征线法设计二维轴对称喷管，采用MATLAB进行的喷管设计方法(nozzle design)

一种混沌吸引子的演示程序，非常适合初学者研究和使用。 (A chaotic attractor of the demo program is very suitable for beginners to study and use.)

说明：  MATLAB高级编程,MATLAB工程数学,MATLAB实用教程,MATLAB图形图像等源码集锦(MATLAB high-level programming, engineering MATLAB mathematics, MATLAB practical guides, such as MATLAB graphics source Collection)

Dynamic_Single Link Robot Manipulator_Matlab Simulink

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

VBLAST的MATLAB仿真，可以形成有噪声干扰和无噪声干扰的VBLAST对比图(The VBLAST of MATLAB simulation, noise and no noise of VBLAST comparison chart)

多重比较LSD法实现方差分析的matlab代码，调用格式为输入A矩阵，每一列是一个因素水平，当重复数不相等时，缺失数据用nan补齐。输出参数为各均值的比较表。(Multiple variance analysis method to achieve more LSD matlab code, call format for the input A matrix, each column is a factor level, when the number of repetitions is not equal, nan filled with missing data. Output parameters for the mean comparison table.)

image compression using lvq