FaceRecognition

QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.(As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate.)

用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用(achieve the lssvm regression based on time series using matlab)

单级机械臂的位置控制，由于需要调整时间和最大输入力矩的要求，程序实现两种非标准的LQR控制(The single-stage manipulator position control, due to the need to adjust the time and the maximum input torque requirements of the program to achieve the two non-standard LQR control)

绘制钢筋混凝土截面弯矩-轴力-曲率的程序，非常实用，适用用于做截面分析。(A program for drawing the M-N- of reinforced concrete cross section is very practical and suitable for making cross section analysis.)

PLATE Plate mesh in the xy plane

PID Tunning with PSO

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

用matlab作的，代数微分方程组的解法。(Matlab for use, and the solution of algebraic differential equations.)

图像相关校正方法 用三点做线性矫正 在matlab中实现(image correction method using linear correction 3:00 done in Matlab achieve)

用批处理最速下降法训练网络，利用Matlab Script节点实现在此以对一个非线性函数的逼近作为例子来说明 (Batch steepest descent method to train the network to use Matlab script node to achieve this as an example of a nonlinear function approximation to illustrate)