边缘检测在图像处理中最重要的主题。

无约束一维极值问题 minGS 最小化代码(One-dimensional unconstrained extremum problem)

matlab开发工具箱中的支持向量机，从先验概率中采样，计算权重，gmcalab 快速广义的形态分量分析。( matlab development toolbox support vector machine, Sampling a priori probability, calculate the weight, gmcalab fast generalized form component analysis.)

基于无传感器的矢量控制的matlab的程序框图，经试验，可以正常运转(Based sensorless vector control matlab block diagram, the test can be normal operation)

根据Dalal提出的HOG特征算法编写，代码简单，注释清楚，根据所处理图像的名称路径修改后可生成36*105的特征向量。(The algorithm proposed by Dalal HOG feature writing code simple, clear annotation feature vector can generate 36* 105, modified according to the name of the image processing path.)

MATLAB分布式电力系统状态估计完整程序.用于分布式光伏电站并网(MATLAB distributed power system state estimation complete program for distributed photovoltaic power station grid connected)

电力系统继电保护故障启动程序，matlab编写的程序(Power System Fault launcher, matlab program written)

说明：  一个用于计算图像边缘强度的matlab程序，可以用了检测图像边界(EDGE detecting)

说明：  该程序是在matlab中实现卡尔曼滤波的一个程序代码(The program is implemented in the matlab program code of a Kalman filter)

一種可用於SAR影像上的應用，並且提供使用者簡單的把圖片慮波得到更好的影像辨識(An application can be used on the SAR images, and provides users with a simple wave to get a better picture into account image recognition)

This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the uation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging. (2014-11-17