Matlab

this is the code written for baysian classifier that contains lda,pca, normalization

实现对眼睛的识别，以及实现多帧图像的连续跟踪。用matlab实现，里面有测试图片。(To achieve recognition of the eyes, as well as the realization of multi-frame images of continuous tracking. Using matlab to achieve, there are test images.)

it is for electrical engineering in power systerm. it is a matlab function for pv-power load.

集群（CR）的加固阶段进展集群分离自组织映射（SOM）的。(The Cluster Reinforcement (CR) phase advances cluster separation in Self Organizing Maps(SOM).)

实现二维正向正态云发生器 ，非常好用 (2D forward the normal cloud generator)

说明：  对s进行小波分解，提取小波分解的低频系数，提取小波分解的各层高频系数，绘出各系数的图形(Wavelet decomposition of the s to extract the low frequency coefficients of wavelet decomposition to extract the layers of high-frequency coefficients of wavelet decomposition, the coefficients of the graphics drawn)

Matlab是一个交互式的系统，它的基本运算单元是不需指定维数的矩阵，按照IEEE的数值计算标准（能正确处理无穷数Inf(Infinity)、无定义数NaN(not-a-number)及其运算）进行计算．(Matlab is an interactive system, its basic operation unit which is not specified dimension of the matrix, in accordance with the numerical calculation of IEEE standards (to correctly handle the infinite number of Inf (Infinity), no defined number of NaN (not-a-number) its operation) is calculated.)

序贯相似性检测算法，matlab源代码，代码简单，便于理解！(Sequential similarity detection algorithm, matlab source code, the code is simple, easy to understand!)

PCA的步骤： 1 先将数据中心化； 2 求得的协方差矩阵； 3 求出协方差矩阵的特征值与特征向量； 4 将特征值与特征向量进行排序； 5 根据要降维的维数d’,求得要降维的投影方向； 6 求出降维后的数据； (PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4 eigenvalues and eigenvectors will be sorted 5 according to the dimension of dimension reduction d ' , seek to reduce the dimension projection direction 6, the data obtained after the dimensionality reduction )

Connecting ADC to 8051