testPartGsm

噪声信号产生软件，非常不错的，大家可以下载试试，一个简单产生白噪声的软件(Noise signal generator software, very good, we can try to download a simple software generates white noise)

带有前馈系统的电机伺服控制系统的matlab建模，基于simulink的仿真，原创，可用(Motor servo control system with feedforward system matlab modeling, based on simulink simulation, originality, available)

doa,coprime。从2M+N-1根天线扩展到MN-1根天线。M、N均为互质，M小于N(doa, coprime, MUSIC)

this code calculate how use this programmation

一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。 附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。(Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory.)

CRS i.e Car Rental System information

一个最优控制的matlab软件包，里面包含了各种最优控制算法的实现，详见文件内m文件(An optimal control matlab package, which includes a variety of optimal control algorithm, described in document m file)

因子分析可在许多变量中找出隐藏的具有代表性的因子。将相同本质的变量归入一个因子，可减少变量的数目，还可检验变量间关系的假设。(Factor analysis can be found in many variables hidden with a representative factor. The same nature of the variables included in a factor, can reduce the number of variables, but also to test the relationship between the hypothesis.)

本代码是基于LS算法的OFDM信道估计源代码(The code is based on the LS algorithm for OFDM channel estimation source code)

Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai - bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).(Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai- bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).)