bayesian

本程序是在matlab的开发环境下，利用对指纹图像进行分类识别(This procedure is a development environment in matlab using the classification of fingerprint images to identify)

Demo emf source code 2

matlab读取YUV视频数据参考程序，matlab实现(matlab read YUV video data reference program, matlab achieve)

说明：  以卷积神经网络对遥感数据（PaviaU）进行分类的一个算例，对于卷积神经网络的学习很有帮助。(An example of classification of remote sensing data (PaviaU) by convolution neural network is very helpful for the learning of convolution neural network.)

说明：  单点坐标转换本地区的matlab拟合单点坐标转换本地区的matlab拟合(The single point coordinate transformation in the matlab fitting)

首先提出了基于微分几何控制理论的双馈发电机非线性多输入多输 状态反馈解藕控制方案，通过非线性坐标变换和非线性状态反馈，使双 发电机的磁链和转速两个子系统实现了动态完全解藕。其次采用基于定 磁场定向的双馈发电机矢量控制，实现定子侧有功功率和无功功率的解藕 为了消除交叉藕合电动势对发电机参数的影响，采用内模控制解藕控制 案，使系统具有良好的输出动态性能。最后在分析双馈发电机的数学模 和矢量控制的基础上，提出了一种基于模型参考自适应方法的定子、转 磁链观测、发电机转速估计和转子电阻辨识算法，应用Lyapunov原理证 了估计的收敛性，并应用于上述解藕控制方案中。在对算法进行理论推 的基础上，应用Matlab/simulink，对各个算法和系统进行了仿真，检验了 算法和控制方案的可行性。 (First proposed nonlinear multi-input multi-input state feedback the decoupled control programs through nonlinear coordinate transformation and nonlinear state feedback control theory based on differential geometry doubly-fed generator, dual generator flux and speed sub-systems to achieve the dynamic completely decoupled. Secondly, based on the fixed magnetic field oriented vector control of doubly-fed generator stator side active power and reactive power decoupling in order to eliminate the cross-coupling of the electromotive force of the generator parameters using the internal model control decoupling control case, so that the system which has good dynamic performance. Finally, in the analysis of the doubly-fed generator based on the mathematical model, and vector control, a method based on the model reference adaptive stator, turn flux observer, generator speed estimation and rotor resistance identification algorithm using the Lyapunov principle permit estimated convergence, and appl)

lte中CQI的编码代码,在标准211中可以看到原理(the cQI R-M coding in Pucch 2)

AHP层次分析法计算判断矩阵的最大特征值,是学习PCA特征提取的很好的学习资料，STM32制作的MP3的全部资料。( Calculate the maximum eigenvalue judgment matrix of AHP, Is a good learning materials to learn PCA feature extraction, STM32 all the information produced by the MP3.)

这时一个聚类程序，使用c均值方法的聚类程序(A classing program of c mean methed )

说明：  Taylor算法，可以用于解非线性方程组(Taylor algorithm, can be used for solving the nonlinear equations)