caisemoxingzhuanhuan

用改进SVM实现人脸特征提取和识别，用matlab编写，和结果分析(A matlab code of enhanced SVM for face recognition)

说明：  姿态定位完整的matlab算法，具体有讲解版，文章版权已经申请，可以传播但是请勿发表文章，违者必究(Posture positioning complete matlab algorithm, on the specific version, the article has applied for copyright, can spread but not published an article rights reserved)

2D Hetero-Spectral Analysis Conduct 2D hetero-spectral correlation analysis on two matrices (here SAXS and WAXS data) that contain the same number of points along the perturbation. This is written for ax3xm matrices where there are a spectral variables (which are located in column 2) and m points along the perturbation. Column 3 contains the intensity values. Column 1 contains temperatures (not used here). load matrices

tutorial for coding by mstlsb for beginner student

基于稀疏表示和联合表示的鲁棒的人脸识别，很有用(CRC face recognition)

神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网 络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能。如人脑的某一部分进行机械记忆特别有效 而某一部分进行抽象思维特别有效。(Nervous system has some functions. Here I make them by using Matlab.)

模糊算法PID控制器参数再线自动整定MATLAB程序(Fuzzy PID controller then automatically tuning MATLAB)

centralaized secondary cotrol of microgrid

应用matlab，仿真雪花飘飞，非常的逼真直观(Application of Matlab simulation snowy, very realistic and intuitive)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)