lab 3

edge detection for an image

一个修改后的PCA进行人脸识别的Matlab代码~~~~~~~!!!(A revised PCA for Face Recognition Matlab code ~~~~~~~!!!)

本程序采用的是基于matlab的PQ分解法潮流计算，程序主要分为三个部分：第一部分用于生成系统的节点导纳矩阵。第二部分主要进行潮流系统的迭代运算。第三部分主要用于对程序最后输出结果的计算，如电压的幅值，相角，功率分布等。(This procedure is used in matlab the PQ decomposition method based on flow calculation, the program is divided into three parts: The first part of the node admittance matrix used to generate the system. The second part of the iteration trend system. The third part is mainly used for the calculation of the final output of the program, such as the amplitude of the voltage, phase angle, power distribution.)

说明：  简易实现车牌识别，有GUI界面。车牌识别系统将获取的车辆图像进行一系列的处理后，以字符的形式输出结果(Simple license plate recognition with GUI interface.The license plate recognition system processes the acquired vehicle image in a series of ways and outputs the results in the form of characters.)

基于Matlab平台开发的用于特征选择的算法，后向选择算法，主要用于提取心电生理信号的表示特定情感的特征用于降低特征维度。(Backward selection algorithm for feature selection algorithm based on Matlab platform development, mainly for extraction of ECG physiological signal represents a specific emotional characteristics used to reduce the feature dimension.)

可以对卡尔曼滤波有较为准确的认识与理解，并且对迭代算法有一定的了解。 (Can to kalman filter have relatively accurate knowledge and understanding, and to have some understanding of iterative algorithm.)

TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。(TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entropy of gray level co-occurrence matrix as texture features, the use of k-means clustering.)

MATLAB中GUI的学习例子及其编程思想，两个小例子：1.风车设计2.计算器设计(Learning MATLAB examples in the GUI and their programming ideas, two small examples: 1. Windmill design 2. Calculator design)

local binary pattern matlab source code

说明：  estimation of mutual information