ICAQUZAO

The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.

这个是matlab经典教程的一个关于 偏微分方程的数值解法的原代码，希望大家赶快下载哦(This is a classic tutorial matlab partial differential equations on the numerical solution of the original code, I hope you get to download Oh)

该文档是matlab工具箱的安装使用手册： PSOt为PSO的工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(The document is the installation of matlab toolbox manual: PSOt toolbox for the PSO, the PSO algorithm toolbox to the core package and up to the user adjustable parameters for the algorithm, users only need to define their own needs better optimization function (calculated minimum or maximum), and set a good range of functions from the variables, each iteration the maximum allowable variation (known as maximum speed, Max_V), etc., can be self-optimization.)

EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。当信号加上均匀分布的白噪声背景时,不同尺度的信号区域将自动映射到与背景白噪声相关的适当尺度上去。当然,每个独立的测试都可能会产生非常嘈杂的结果,这是因为每个附加噪声的成分都包括了信号和附加的白噪声。既然在每个独立的测试中噪声是不同的,当使用足够测试的全体均值时,噪声将会被消除。全体的均值最后将会被认为是真正的结果,唯一持久稳固的部分是信号本身,所 加入的多次测试是为了消除附加的噪声。(The EEMD collection of experience decomposition is improved on the basis of the EMD more given a data processing method!)

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, writes independently, the study is very worthwhile.)

LTE下行链路发射分集仿真，仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字、8次迭代Turbo译码，每次处理1000万比特用户数据、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行发射分集预编码。信道模型是LTE-MIMO信道附加AWGN信道。收发两端采用的双天线配置，天线相关性为中等。(LTE downlink transmit diversity simulation configuration: 16QAM modulation, 1/3 Turbo coding rate, 10MHz bandwidth of each sub-frame a PDCCH symbol, single code word, 8 iterations Turbo decoding, each processing 10 million bits of user data, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, a PDSCH transmitting terminal transmit diversity precoding. Channel model is LTE-MIMO channel additional AWGN. Dual antenna transceivers at both ends of the configuration, the antenna correlation is moderate.)

说明：  使用MATLAB软件来生成决策树的系列代码(Matlab routine of decision tree)

Converts 3D and 2D MATLAB plots to the scalable vector format (SVG)

采用自相关法提取基音，里面有求取自相关的函数。(To extract the pitch of the autocorrelation method)

matlab关于图像增强方面的源码，供初学者使用(matlab source code on the image enhancement for beginners)