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matlab实现GPS跟踪中kalman滤波的应用(matlab realize GPS tracking kalman filtering applications)

《精通MATLAB最优化计算》一书中各章实例的源代码程序(" Mastering MATLAB optimization calculations," a book chapter example source code of the program)

对matlab解决图论问题的算法做个汇总。主要包括：顶点覆盖近似算法、哈密尔顿回路、最大流和最小截、最短路和次短路、最小生成树Prim算法、最短路径等等。由于太多就不一一列举了。(Matlab to solve the problem of graph theory algorithms to be aggregated. Include: vertex cover approximation algorithm, Hamilton circuit, the maximum flow and minimum cut shortest times short circuit, Prim minimum spanning tree algorithm, the shortest path. Not because of too many to enumerate.)

Introduction Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge.

In this simulink model , BPSK modulation and demodulation is simulated .A square root raised cosine pulse shaped signal is modulated and given as input to the demodulator.The received signal is demodulated and given to the detector where it is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The signal transmitted is recovered at the detector output.

说明：  code to test the mimo system for the ML and MZ

image watermarking method

说明：  1.1 MATLAB软件介绍 1.1.1 MATLAB发展进程 1.1.2 MATLAB的基本功能 1.1.3 MATLAB语言的特点 1.1.4 MATLAB R2011a的新功能 1.2 MATLAB安装与运行 1.3 MATLAB的运行环境 1.3.1 命令窗口 1.3.2 历史命令窗口 1.3.3 工作空间 1.3.4 当前文件夹 1.4 MATLAB帮助文档 1.4.1 帮助窗口 1.4.2 帮助命令 1.5 变量 1.6 矩阵 1.6.1 矩阵创建 1.6.2 数列创建 1.6.3 矩阵的基本运算 1.7 高维矩阵 1.7.1 创建高维数组 1.7.2 高维数组操作函数 1.8 演示MATLAB 1.9 小波分析概述 (1.1 MATLAB Software 1.1.1 MATLAB development process 1.1.2 MATLAB basic functions 1.1.3 MATLAB language features 1.1.4 MATLAB R2011a new feature 1.2 MATLAB installation and operation 1.3 MATLAB runtime environment 1.3.1 Command Window 1.3.2 History Command Window 1.3.3 Workspace 1.3.4 Current folder 1.4 MATLAB help documentation 1.4.1 Help Window 1.4.2 Help Commands 1.5 Variables 1.6 Matrix 1.6.1 Creating Matrix 1.6.2 series created 1.6.3 Basic operation matrix 1.7 high-dimensional matrix 1.7.1 Creating high-dimensional arrays 1.7.2 High-dimensional array manipulation functions 1.8 demo MATLAB 1.9 Overview of Wavelet Analysis )

ttis is a forgery detction ppr to implemnt.

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)