tracker-code-2011.11.18

这是使用射线跟踪法求解墙体造成误差的程序，分别有穿单面墙，平行双墙，垂直双墙的情况(This is to use ray-tracing procedure for solving the error caused by the wall, respectively, through a single wall, parallel to the double wall, vertical double-wall case)

说明：  本文主要是通过Buck变换器推导出移相全桥变换器的小信号电路模型，接着用MATLAB软件进行仿 真，来判断系统的稳定性。 ( This paper is mainly through the Buck converter is deduced the whole bridge converter phase shifting small signal circuit model, then the MATLAB software to copy True, to judge the stability of the system.)

matlab的一些波束形成的算法 多种方法。。(the matlab the beamforming algorithm a variety of methods. .)

包含了巴特沃斯滤波、维纳滤波、求灰度直方图、灰度变换、灰度图像变成RGB图像(Contains the butterworth filter, wiener filtering, gray histogram, gray level transformation, gray image into RGB image)

it is about genetic algorithm

说明：  遗传算法及说明 遗传算法及说明。(Genetic algorithm and describe genetic algorithms and description.)

CT图像重建中的代数重建工具包(AIR Tools is a MATLAB software package for tomographic reconstruction (and other imaging problems) consisting of a number of algebraic iterative reconstruction methods. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Compute. The collaborators are DTU Compute, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The main part of the Matlab code was written by Maria Saxild-Hansen. The core of the functions fambeamtomo, paralleltomo, and seismictomo was written by Jakob Sauer J鴕gensen.)

同步发电机，用于仿真用，6.5以上可打开(Synchronous generator for the simulation used to open more than 6.5)

目标跟踪：对目标的运动建立较为简单的线性模型，并用最小二乘估计对其参量进行估计，从而推出目标轨迹。(Target-Tracking：the simulation of tracking target by linear least squares estimates on the Matlab platform.)

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)