Multivariate-statistical

数学建模论文 题为试卷评阅 进行分析建模求解编程(Thesis papers on mathematical modeling to analyze Review programming model for solving)

雷达成像RDA正侧视 matlab 我看的是合成孔径雷达成像算法与实现(digital processing of synthetic aperture radar)

good simulink program for ldpc

四轴飞行器的无模型自适应系统，三种格式，全格式，紧格式，偏格式。(Four-axle aircraft modelless adaptive system, three formats, full format, tight format, partial format.)

说明：  第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 (Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object with the judge handles delete delete 4.3.1 handles 4.4 judgment 4.3.2 Handle Graphics object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Default graphic object 4.5.1 figflag other operations function 4.5.2 findfigs function 4.5.3 copyobj function 4.5.4 capture function 4.5.5 refresh function 4.5.6 saveas function 4.5.7 hgload function and 4.5.8 newplot function hgsave function)

说明：  matlab软件的基础知识一，关于交互式的命令行的使用方式和M-文件的使用方式！(a basic knowledge of matlab, the command line on the interactive use of M-files and use!)

混沌时间序列应用matlab的代码程序,挺有用的，可以看看(matlab time series)

稀疏工具箱，用于压缩感知，包含BP、MP、OMP等算法的实现，附有论文。(sparsify_0_5 cs)

说明：  布谷鸟算法计算最小值优化 可以画图。。。。。(The cuckoo algorithm can be used to calculate the minimum value, and the graph can be drawn)

Program to plot x(t) =1/2+∑_(n=1)^∞▒ (sinc⁡ 〖n/2〗 〖 cos 〗⁡ 〖2πnt/4〗 ) Include n-value (Number of Terms) in graph on plot. Show 2 graphs, original and simulated together.