pso_liziqunsuanfa

POLSAR data reader in matlab

inverse zigzag function of matlab

matlab解决tsp问题,穷举法,不错的(matlab tsp, that is good)

一个matlab与stk交互的例子，实现两个软件的互联(an example of interaction between stk an matlab)

一般情况下，我们都是在MATLAB命令行或DOS命令行下编译MEX程序。 所用的命令就是：mex filename.c 这有很多不方便的地方： a. 虽然mex也可以编译C++的mex程序，但是它的主框架仍是C的 a. 当程序有多个模块时，需要多次使用mex命令，操作很麻烦 b. 不能利用VC特有的ClassWizard自动创建和维护类 c. 不能用MFC类库编写应用程序 d. 不能方便地进行类似VC的项目管理 本文详细解说如何在IDE中编译MEX程序(Under normal circumstances, we are all in the MATLAB command line or DOS command line program to compile MEX. Command is used by: mex filename.c This has a lot of inconvenient places: a. Although the mex can also compile C++ The mex program, but it is still the main frame C of a. When the procedure has a number of modules the need to repeatedly use the mex command, the operation is cumbersome b. Can not use VC-specific ClassWizard automatically create and maintain the category c. can not use MFC class library to write applications easily d. should not conduct a similar project management VC a detailed explanation of how this article IDE compiling MEX procedures)

机器人足球赛，人形机器人在足球场的定位问题。采用粒子滤波方法，此为模拟的文件。(Robot soccer, humanoid robot localization problem in football. Using particle filter, this is the simulation of the file.)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

SIMULAATION D UN CANAL DE TRANSMISSION DE TYPE RAYLEIGH CHANNAL?AVEC UN MOD7LE STATISRIQ(IMULAATION D UN CANAL DE TRANSMISSION DE TYPE RAYLEIGH CHANNAL?AVEC UN MOD7LE STATISRIDCVDSCD)

This book is about signal processing, which includes processes for synthesizing, transforming, and analyzing signals. It focuses on sound signals, but the same methods apply to other signals, like electronic signals and mechanical vibration.

echo cancellation simulation by LMS