06365196gps

精通MATLAB图像处理，电子工业出版社， 该光盘文件中包括了全书所有实例对应的MATLAB M文件,以及用到的图片。所有代码按照章节存放在各个文件夹下，如“第2章”文件夹下存放了本书第2章所有的程序代码或实例代码,“第3章”文件夹下存放了第3章所有的实例代码，依此类推。(Proficient in MATLAB image processing, electronic publishing industry, the CD includes a book, document all instances of the corresponding MATLAB M files, and use the pictures. All of the code stored in accordance with sections in every folder, such as " Chapter 2" folder stored under Chapter 2 of this book to all of the program code or example code, " Chapter 3" folder stored under Chapter 3 of all example code, and so on.)

基于MATLAB的递推最小二乘法辨识与仿真，很实用(MATLAB-based parameter identification and simulation, very useful)

GPS仿真程序。很好的。用MATLAB实现仿真过程。(GPS Simulation code)

speed control of dc motor

交互多模型算法的仿真程序，仿真过程中发生一次机动！(the simulation of the IMM algorithm, in this simulation there is one maneuvering。)

本程序可以简单地求出两个信号之间的相位差，操作简单(This procedure can be simply the phase difference between the two signals is obtained, simple operation)

这是一个进行卫星轨道预报的程序。导航卫星；自主轨道预报；状态转移矩阵。无错误(This is a satellite orbit prediction program. Navigation Satellite autonomous orbit prediction state transition matrix. No error)

作为MATLAB的一个重要组成部分，Simulink由于它所具有的上述的两大功能和特色，以及所提供的可视化仿真环境、快捷简便的操作方法，而使其成为目前最受欢迎的仿真软件。 本章主要介绍Simulink的基本功能和基本操作方法，并通过举例介绍如何利用Simulink进行系统建模和仿真。 (As an important component of MATLAB, Simulink because it has the two above-mentioned functions and features, as well as provide visual simulation environment, quick and easy methods of operation, which makes it the most popular simulation software. This chapter introduces the basic functions of Simulink and basic operation methods, and through examples of how to use Simulink for system modeling and simulation.)

matlab下adaboost算法程序，有运行结果在内(The following algorithm matlab adaboost procedures, operating results, including)

Author: Xianju Wang Summary: 2 Dimensional Spectral Estimation MATLAB Release: R12 Description: Estimating the power spectrum associated with a random process is desirable in many applications. This package includes four important 2-D spectral estimation methods.(Periodogram, Autorrelation Method, Covariance Method, Modified Covariance Method).(Author : Xianju Wang Summary : 2 Dimensional Spectral Estimation MATLAB Rele ase : R12 Description : Estimating the power spectrum associated with a random process is desirable in many applicati ons. This package includes four important 2-D's pectral estimation methods. (Periodogram. Autorrelation Method, Covariance Method. Modified Covariance Method).)