Circul-plot

2D fdtd with pml and two sinosudoal point source

说明：  matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

四通道全息图的生成与重建代码，具有一定的借鉴意义(Code generation and four-channel hologram reconstruction, with some reference)

一个HMM的Matlab实现方法，可实现孤立词语音识别(The Matlab realize a HMM method can realize an isolated word speech recognition)

garch model for econometric

An implementation of Lucas-Kanade optical flow method for 3-D images(This is an implementation of Lucas-Kanade optical flow method for three dimensional images like NIFTI, DICOM etc. A demo with test dataset is given.)

Artificial Neural Networks using Particle Swamp Optimization

In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications.

倒立摆控制系统虽然作为热门研究课题之一，但见于资料上的大多采用现代控制方法，本课题的目的就是要用经典的方法对单级倒立摆设计控制器进行探索。(Although the inverted pendulum control system as one of hot research topics, but in most of the information on the use of modern control methods, the purpose of this subject is to use the classic method of single-stage inverted pendulum controller design exploration.)

ACCV的一篇论文以及源代码，不是我写的只是搬运到这里而已，具体请访问论文中作者的网页。改进Harris的角点检测，主要改进在：1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板；2、选择使用多尺度滤波器对图像进行处理，使算法具有一定的多尺度特性。(This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the home page of the author.Major improvements of this paper is focus on: 1 Using a bilateral filters insteal of the isotropic Gaussian kernel for weighted template selection 2、Using Multi-Scale filter which make the algorithm can detect the multi-scale corner in the image)