donglixuefangzhen_huadongbai

闪烁的灯，根据自己的设置可以设置等的闪烁方向，前后以及跳跃等等(Flashing lights, according to their own settings such as the flash can be set direction and jumping around, etc.)

说明：  matlab数据和函数的可视化,快速进入matlab神奇殿堂(matlab data and visualization functions, fast access to the magic matlab Hall)

matlab 代码，主要用于计算一数据矩阵的标准差，方差，变异系数，话三维曲面图(matlab code, data matrix used to calculate a standard deviation, variance, coefficient of variation, then D surface chart)

用matlab编写的最基本的量子进化算法,运行main函数即可。(Using matlab basic quantum evolutionary algorithm, you can run the main function.)

说明：  基于状态空间模型的模型预测控制，matlab平台实现。(The model predictive control based on state space model is realized by Matlab platform.)

This file is used to develop Phase locked loop.

自适应区域直方图均衡，用于图像增强，适用于超声图像，对超声图像的灰度增强又很好效果。(regional adaptive histogram equalization for image enhancement applies to ultrasound images, Ultrasound images of the Gray also enhanced good results.)

包含收发两个客户端的链路级通信程序,zqOINtF参数包括主成分分析、因子分析、贝叶斯分析，使用拉亚普诺夫指数的公式，预报误差法参数辨识-松弛的思想，NRnyPWp条件粒子图像分割及匹配均为自行编制的子例程，是机器学习的例程。( Contains two clients receive link-level communications program, zqOINtF parameter Including principal component analysis, factor analysis, Bayesian analysis, Raya Punuo Fu index using the formula, Prediction Error Method for Parameter Identification- the idea of relaxation, NRnyPWp condition Particle image segmentation and matching subroutines themselves are prepared, Machine learning routines.)

Expectation Maximization

说明：  reg 转换为 hsv 的matlab源代码 subplot(221) subimage(ph) colorbar xlabel( (a)色调分量图像 ) subplot(222) subimage(ps) colorbar xlabel( (b)饱和度分量图像 ) subplot(223) subimage(pv) colorbar xlabel( (c)亮度分量图像 ) subplot(224) subimage(phsv) colorbar xlabel( (d)调整后的图像 ) (reg into the matlab source code hsv subplot (221) subimage (ph) colorbar xlabel (' (a) color component image' ) subplot (222) subimage (ps) colorbar xlabel (' (b) saturation component image ' ) subplot (223) subimage (pv) colorbar xlabel (' (c) luminance component image ' ) subplot (224) subimage (phsv) colorbar xlabel (' (d) Adjustment After the image ' ) )