tgx

扩展卡尔曼滤波程序，C语言仿真。包括卡尔曼滤波简介及其算法实现代码。(EKF simulation)

卡尔曼滤波 参数辨识 系统建模 自动识别(EKF UKF Toolbox for Matlab V1.3.rar)

4) 创建一个名为Complex的类，进行复数的算术运算。复数的形式为： realpart+imaginarypart*i 用浮点变量表示类的private数据。提供构造函数，能够对所声明的该类对象进行初始化。在不提供初始化值的情况下，该构造函数应包含默认值。针对以下功能，分别提供一个public成员函数。 （1）两个复数相加； （2）两个复数相减 （3）用（a, b）的形式打印复数，其中a为实部，b为虚部。 (4) Create a class called Complex, and perform complex arithmetic operations. Plural form: realpart+imaginarypart* i said private data class with floating point variables. Provide a constructor, the object can be declared for the class is initialized. In the case do not provide initialization values, the constructor should contain default values. For the following functions, which provide a public member function. (A) two complex numbers (2) the subtraction of two complex (3) (a, b) in the form of plural printing, where a is the real part, b is the imaginary part.)

说明：  高等应用数学问题的MATLAB求解高等应用数学问题的MATLAB求解(Advanced application of advanced mathematical problem solving application of MATLAB MATLAB to solve mathematical problems)

第k小元素（分治法） 给定一个线性序列集，要求求出其中指定的第K小的数的值和位置.如给定n个元素和一个整数i，1≤i≤n，输出这n个元素中第i小元素的值及其位置；(First k small element (divide and conquer) Given a set of linear sequence, where the specified requirements determined the K value and the small number of locations, such as a given n elements and an integer i, 1 ≤ i ≤ n, output this is the n elements of the i-th element value and the position of the small )

基于蒙特卡罗方法的试卷难度分布研究,Monte Carlo method based on the difficulty of distribution of papers(Monte Carlo method based on the difficulty of distribution of papers)

本文以数字图像处理、压缩技术和MATLAB应用为基础，偏重于MATLAB图像处理的分析和应用。涉及到关于图像处理的图像增强、二值处理、小波分析和图像压缩的基本概念，解决了利用低通、高通滤波，膨胀，腐蚀，平滑，边缘提取和基于DCT变换，小波变换的图像压缩技术的图像处理，制作了一个关于图像处理和图像压缩的系统。(good)

UPFC with series and shunt FACTS controllers

VC++编程，将文本10000点的数据导入，将1000点的数据导出，然后可以直接导入Matlab程序中画出实时波形。(VC++ programming, the text data into 10,000 points, 1,000 points will export the data, then import the Matlab program can draw real-time waveform.)

光栅图形矢量化方法分析与评价,一篇不错的书籍(Raster graphics vector analysis and evaluation methods, a good book)