cmdcompare

使用EKF和粒子滤波在简单的平台上实现定位，是本人在华盛顿大学机器人课程作业的基础上编写完成的，可以作为滤波和移动机器人定位的基础教程使用。 Author：Wilford Wang PS. 可以先下载本人之前上传的Project-1.rar(华盛顿大学的课题作业)，自行编写，再与我写的程序做比较，可以达到比较好的学习效果。(Using the EKF and particle filter in a simple platform for location, is my course work at the University of Washington, based on the robot to complete the writing can be used as filtering and mobile robot localization based tutorial. Author: Wilford Wang PS. Before I can upload to download the Project-1.rar (University of Washington project work), write your own, and I wrote the program and then compare, you can achieve better learning results.)

DSP course lectures lab

电子工业出版社 《数字信号处理》第2版课后题MATLAB 4-7题(Electronic Industry Press Digital Signal Processing 2nd edition title after title MATLAB 4-7)

基于Scilab的粒子群算法代码，Scilab是一个功能和matlab差不多的开源软件(Based on the Particle Swarm Optimization Scilab code, Scilab is a functional and open source software similar to matlab)

BPSK调制解调直接序列扩频系统源代码(白噪声及瑞利衰落误码率比较)(BPSK receiver simulation using Spread Spectrum Techniques )

该程序能够通过使用Allan方差算法来分析陀螺噪声。(The program can be through the use of Allan variance algorithm to analyze the gyro noise.)

格式：[huffcodes，氢，領 ，电子] = huffmancoding（磷，氮） ％输入：p是每个字母符号的概率 （如：对= [0.3 0.2 0.2 0.2 .06 .04]） n是一个整数，决定在每个帧的符号数量 （默认：n = 1时） ％输出：huffcodes：huffmancodes 答：源熵 甲肝：平均熵编码 电子邮件：科丁效率(format : [huffcodes,H,Hav,e]=huffmancoding(p,n) inputs: p is the probability of each alphabet symbol ( eg:p=[.3 .2 .2 .2 .06 .04] ) n is an integer that determines number of symbols at each frame (default:n=1) outputs: huffcodes: huffmancodes H: source entropy Hav: average entropy for coding e: codding efficiency )

非线性薛定谔方程的数值仿真，对于从事光纤通信传输方面的研究具有一定的参考意义。(failed to translate)

最常用的函数matlab编写程序，比较实用经典，再各个领域都有比较常见的调用(The most commonly used functions matlab programming, more practical classic, then all areas of the more common calls)

是机器学习的例程，构成不同频率的调制信号，有详细的注释，在MATLAB中求图像纹理特征，包括调制，解调，信噪比计算，利用自然梯度算法，可实现对二维数据的聚类，有PMUSIC 校正前和校正后的比较。 ( Machine learning routines, Constituting the modulated signals of different frequencies, There are detailed notes, In the MATLAB image texture feature, Includes the modulation, demodulation, signal to noise ratio calculation, Use of natural gradient algorithm, Can realize the two-dimensional data clustering, A relatively before correction and after correction PMUSIC. )