draw

In this paper, the parameters of PID controller for Automatic Generation Control (AGC) is tuned according to Generic Algorithms (GAs) based performance indices in the restructured power systems. The key idea of the proposed method is to use the fitness function based on figure of demerit. The simulation results are shown to illustrate effectiveness of the proposed method to solution of AGC problem under different operation condition for a wide range of parameter uncertainties and system nonlinearity

说明：  MSRCR可用于图像增强，去雾。效果很不错，对于研究很在参考价值。可用于论文最后实验对比。(MSRCR can be used for image enhancement and fog removal. The effect is very good, very valuable reference for research. It can be used for experimental comparison at the end of the paper.)

Demo of some Garch models, include ugarch, dcc-garch, ica-garch, and neural network garch, and ica-nn-garch. the last two model are proposaed by me

MATLAB codes for blind forgery systems

关于Matlab中常微分方程的数值解法以及其Matlab实验的源代码(Numerical solution of differential equations)

在matlab环境，实现language算法，根据所给的点确定原函数(language method)

基于DRNN神经网络整定的PID控制<先进PID控制与matlab仿真>第六章(DRNN-based neural network tuning of PID control（advanced PID control simulation matlab） Chapter VI)

FINDENDSJUNCTIONS - find junctions and endings in a line/edge image Usage: [rj, cj, re, ce] = findendsjunctions(edgeim, disp) Arguments: edgeim - A binary image marking lines/edges in an image. It is assumed that this is a thinned or skeleton image (or nearly so). disp - An optional flag 0/1 to indicate whether the edge image should be plotted with the junctions and endings marked. This defaults to 0. Returns: rj, cj - Row and column coordinates of junction points in the image. re, ce - Row and column coordinates of end points in the image.

弹性波动方程的有限差分 采用的是标准网格(Elastic wave equation finite-difference grid using a standard)

这个是自己编写的MOD算法的程序，用于字典学习，具体的应用有图像融合，图像去噪，丢失点补充等。(this is a dictionary learning method, and the reader can use this algorithm to do image fusion and image denosing.)