STC-MCU-10-11-12C5A-GUIDE

说明：  用于特征降维，特征融合，相关分析等多元数据分析的鉴别型典型相关分析（DCCA）Matlab代码实现。(For feature reduction, feature fusion, multivariate data analysis and correlation analysis based identification of canonical correlation analysis (DCCA) Matlab code implementation.)

OFDM implemented in Matlab

说明：  Matlab微分方程求解,一个利用Matlab进行微分方程求解的教程，简单实用。(Matlab for solving differential equations, one for the use of Matlab for solving differential equations of the tutorial, simple and practical.)

Program for decomposing a matrix by the Doolittle Algorithm

做的一个关于水网解算的小程序，用的是把非线性方程转化为线性方程的思想去解决的，(Does a solver on the water network of small procedures, using the nonlinear equations into linear equations to solve ideological and)

说明：  小孔成像，映射一个简单的圆柱体，可以精确计算投影信息(Pinhole imaging, mapping a simple cylinder, projection information can be accurately calculated)

说明：  实现Jakes模型的快衰落仿真，希望对大家的学习有很好的帮助，看过之后给些意见(Jakes model to achieve fast fading simulation, we hope to learn a very good help, give some advice after reading )

用于对全景镜头进行标定，能求解出图像上对应点的世界坐标的方向向量(The OcamCalib Toolbox for Matlab allows the user (also inexpert users) to calibrate any central omnidirectional camera, that is, any panoramic camera having a single effective viewpoint (see section 17). The Toolbox implements the procedure initially described in the paper(Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS 06), New York, January 5-7, 2006.) and later extended in (Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006. ). A detailed introduction to this model is in section 19 of this Tutorial. Furthermore, you can also see a demo of how the toolbox works here. The Toolbox permits the user to easily and quickly cal)

OFDM implementation using 64QAM

Compute the SVD, Eigen, QR and LU texture transforms of an image.