EM_Gaussian

有关多相滤波的matlab的程序实现，是一个很高的学习例程，有助于对matlab和多相滤波的学习(On the polyphase filter matlab realize the procedure is a very high learning routines, help to matlab and polyphase filter learning)

使用LDA算法对OPC人脸数据库进行识别，并判断识别的准确度(LDA algorithm using OPC face to identify and determine the accuracy of recognition)

i want to download some codes. plz help me

PLOTTING PHASOR QUANTITIES USING MATLAB IN PSCAD A simple case which uses MATLAB for ploting phasor quantities. Apply the fault during simulation run and observe phasor quantities (you can change type of fault) WARNING * This case only works if you use the Compaq/Intel Fortran Compiler. (PLOTTING PHASOR QUANTITIES USING MATLAB IN PSCAD A simple case which uses MATLAB for ploting phasor quantities. Apply the fault during simulation run and observe phasor quantities (you can change type of fault) WARNING * This case only works if you use the Compaq/Intel Fortran Compiler. )

根据对真空蒸发镀膜的分析，在40×40的范围内分别蒸 发：1000、5000、10000、20000、30000个粒子。  利用2维数组记录每个点的粒子数。  初始粒的横纵坐标为0～40的均匀分布。  能量为（15，3）的正态分布。  在基体表面自由行走时损失1的能量。  若该点有粒子，即与其他粒子相遇时损失3的能量。  由低处向高处扩散，每扩散一层，损失4的能量，由高处 向低处扩散，损失3的能量。  当粒子的能量小于等于0时停留下来，该点的粒子数加1。  临界核的尺寸为10个粒子。  根据每个点粒子个数的不同，以不同的灰度显示这些点。 点越亮，则表示该点的膜越厚。  以图形方式显示粒子初始能量的正态分布情况(Based on the analysis of the vacuum evaporation coating, respectively, in the range of from 4040 evaporated: 1000,5000,10000,20000,30000 particles.  each point using 2-dimensional array to record the number of particles. The  initial grains transverse and longitudinal coordinates of a uniform distribution of 0 to 40. The  energy as a normal distribution (15,3).  1 energy losses in the substrate surface to walk.  point particles that 3 energy loss in the encounter with the other particles.  by the lower diffusion tops every diffusion layer, a loss of 4 energy diffusion from high to low, the energy loss of 3.  When the energy of the particles is less than or equal to 0:00 stay down, add 1 to the number of particles that point.  critical nucleus size of 10 particles.  these points, depending on the number of particles of each point is displayed in a different shade. Point, the brighter, the thicker the point of the fi)

用主成分分析法估计出点云中每点的法向量函数(Principal component analysis method for normal estimation in point cloud )

matlab code for haar methode

粒子群优化算法 可以进行选择及时跳出局部限制寻找最优点(PSO algorithm can be selected in time to find the most benefits out of local restrictions)

face detect on web camera

maple的入门级教程，maple的计算相比matlab更加简单也更容易上手(The entry-level tutorial maple, maple computing matlab simpler and easier to use compared to)