FLD_based-Face-Recognition-System_v2-(1)

线性方程组的matlab程序实现方法，有大量例题和程序(Linear equations matlab program implementation methods and procedures for a large number of Example)

该程序实现了对苹果内部球形缺陷的仿真分析(The program for Apple internal simulation analysis of defect of spherical )

此程序是matlab中给出矩阵均值的程序，注释详尽，使用简单，其中的注释详细，自己可以对变量做相应的变换(This procedure is given in matlab matrix mean the procedures, the Notes detailed, easy to use, which notes in detail that they can make the corresponding change of variables)

说明：  tsp的算法讲解和实现，适合学生应用，也适合需要者参考(tsp explanation and implementation algorithms, suitable for students to use, but also for those who need information)

工程硕士计算方法课程，雅克比迭代法matlab源代码(Master of Engineering calculation methods courses, the Jacobi iteration method Matlab source code)

用MATLAB做的功夫熊猫的视频，可以调节帧数来调节视频的快慢，适合MATLAB视频制作的学习(MATLAB do Kung Fu Panda video, you can adjust the speed of the video frames to adjust for MATLAB learning video production)

预报误差法参数辨识-松弛的思想，包括面积、周长、矩形度、伸长度，是本科毕设的题目，BP神经网络用于函数拟合与模式识别，一种噪声辅助数据分析方法,包括主成分分析、因子分析、贝叶斯分析。( Prediction Error Method for Parameter Identification- the idea of relaxation, Including the area, perimeter, rectangular, elongation, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, A noise auxiliary data analysis method, Including principal component analysis, factor analysis, Bayesian analysis.)

Build the PMFG graph a similarity matrix

ON THE CAPACITY OF THE MIMO CHANNEL - A TUTORIAL INTRODUCTION

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)