junzhi

说明：  用粒子群算法解决背包问题，能得到比较有效的结果(Particle swarm algorithm to solve knapsack problem, the results can be more effective)

说明：  matlab编写的[数据挖掘]分类算法Discrete_Bayes算法程序。(Matlab prepared by the [data mining] classification algorithm Discrete_Bayes algorithm way Preface.)

Neural Network documentation

对波达方向进行估计，通过MUSIC算法估计波达方向，利用MATLAB进行仿真，观察DOA估计与信噪比的关系(For DOA estimate DOA estimated by MUSIC algorithm using MATLAB simulation, observation DOA Estimation and SNR relationship)

说明：  一个简单的matab的小波去噪程序，算法采用WT的方法，实现了较好的信号去噪效果(A simple matab wavelet denoising procedure, the algorithm using WT method to achieve a good signal de-noising effect)

RBD and LCRBD algorithm for capacity and ber

MATLAB环境下对于含平稳噪声的带噪语音利用谱相减算法进行处理，原始语音请命名为“origin.wmv"，处理后的语音为”enhanced.wmv"。rar内含有我自己做好的语音处理结果，可以用你自己的待处理语音替换它们，请放在同一目录下！(MATLAB environment containing stationary noise for Noisy Speech using spectral subtraction algorithm for processing, the original voice please named origin.wmv , after the voice for enhanced.wmv . rar contains my own voice to do a good job dealing with the results, you can use your own voice to be processed to replace them on the same directory, please!)

采用MATLAB实现常见信号的波形及代码，非常的实用(It s myself)

Chebfun找到一个类似的问题已经解决了别人使用作为一个模板。这一页将你们连接到几十个这样的模板,称为Chebfun例子。每一个例子是一个M-file生产文本和/或图形输出,执行,在大多数情况下,在少于5秒。你也可以执行的例子,用Matlab命令的出版得到一个包含更多的信息的故事。一类开路(出版(“文件名”))去看在你的屏幕上最快的版本或出版(“文件名”)为一个更好的格式化乳胶版本,它将出现在一个目录叫做html。公布的产量也可直接下载作为一个pdf档案。(The quickest way to solve your problem with Chebfun may be to find a similar problem someone else has solved to use as a template. This page connects you to dozens of such templates, called Chebfun Examples. Each example is an M-file producing text and/or graphical output which executes, in most cases, in less than 5 seconds. You can also execute the example with Matlab s PUBLISH command to get a more informative story. Type open(publish( filename )) to see the quickest version on your screen or publish( filename , latex ) for a better formatted LaTeX version, which will appear in a directory called html. The published output is also available for direct download as a pdf file.)

this is genaral techniques involves in noise cancellation and this matlab version