pinpu_sanwei

Face Detection using Gabor feature extraction and neural network by matlab

利用Matlab及施工过程中采集的点云数据绘制网格图(Point cloud data collected in the use the Matlab and construction process to draw the grid map)

使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。(The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.)

运用相关矩阵法，通过计算2 根天线之间的相关系数、多输入多输出(MIMO)的相关矩阵，得到MIMO 信道系数矩阵，在其中加 入智能天线(SA)的导向向量和赋形向量，得到MIMO/SA 矩阵，由此实现对MIMO/SA 多天线空时信道的建模。(Use of the correlation matrix method, the multi-input multi-output (MIMO), correlation matrix, obtained by calculating the correlation coefficient between the two antennas, the MIMO channel coefficient matrix, Smart Antenna (SA) was added in which the guide vectors and shaped vector, obtained MIMO/SA matrix, thus achieving the modeling of the space-time channel, multi-antenna MIMO/SA.)

字符识别 用卷积神经网络识别A-Z26个英文字母(Character recognition using convolution neural network A-Z26 letters)

wuyufei的turbo程序，做turbo的人一定要看的matlab程序。(wuyufei the turbo procedure, turbo make sure to look at the matlab program.)

Fault Detection and Mitigation in Multilevel Converter STATCOMs

This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.

目前己存在许多优化算法用来解决该问题，但不少算法都存在一定局限性，如当算法的约束条件较多时，很难求解复杂环境的路径规划问题等。本文根据机器人路径规划算法的研究现状和向智能化、仿生化发展的趋势，研究了一种基于改进蚁群算法的机器人全局路径规划方法。 (At present, there are many optimization algorithm has been used to solve the problem, many algorithms have certain limitations exist, such as when the algorithm is more restrictive conditions, it is hard to solve complex environmental problems such as path planning. Based Robot Path Planning Algorithm for the status quo and to the intelligence, the development of bionic trends, research which is based on ant colony algorithm to improve robot global path planning method.)

ofdm without noise codes for matlab