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使用Matlab编制的3D－FDTD程序，程序中使用拉夫等效原理进行时谐场外推．程序中给出了阵子天线的注释代码．(using Matlab based 3D-FDTD procedures, procedures for the use of Lyford equivalence principle for the time-harmonic extrapolations. Procedures given the stream of the Notes code antenna.)

这是对彩色图像进行分块的matlab代码，自己可以根据需要修改。(This is a color image is divided into blocks of matlab code, they can be modified as needed.)

利用自适应陷波器来消除通信系统中的工频干扰。重点从LMS算法的步长因子、信号与干扰的频率差、参考输入的幅值和相位等几个方面讨论单频陷波器的滤波效果。另外，还以双频为例，讨论了多频级联型陷波器的特性，证实了经过两次滤波后，信号可被真实的恢复出来，且误差收敛趋于稳定。(The use of adaptive notch filter to eliminate the communication system frequency interference. LMS algorithms focus from step factor, the frequency difference signal and interference, refer to the input amplitude and phase of discussions on several aspects of single-frequency notch filter of the filtering effect. In addition, in order to dual-band, for example, discussed the multi-frequency cascade notch filter characteristics, confirmed the filtered twice, the signal can be restored out of true, and the error convergence stable.)

code for unit commitment problem power system analysis

matlab实现的fft算法，可以与自带的代码比较，功能基本一样。(err)

说明：  波达方向估计 应用最常规的MUSIC算法 实用！(Direction of Arrival Estimation most conventional MUSIC algorithm practical!)

mimo-ofdm system simulation

these are the DBMS ppt for basic concept of management system

说明：  由Cranfield大学的CaoYi教授编写的数独游戏。数独是风靡全球的智力游戏，本代码采用matlab实现基本的数独游戏功能。(By the Cranfield University, prepared by Professor CaoYi Sudoku. Sudoku is a popular puzzle game around the world, the code using matlab to achieve the basic function of Sudoku game.)

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.