PLECS-PV-model

implementing Qpsk Mapping

说明：  使用了L形邻域进行纹理生成，是很初步的程序，用于灰度图像，而且还未考虑边界的情况，仅供参考(Use the L-shaped neighborhood texture generation, is a preliminary program for gray image, not to consider the boundary conditions for reference only)

说明：  梯形法求数值积分和simpson法求数值积分以及gauss-lengendre法求数值积分(Trapezoidal method seeking numerical integration and simpson Method the numerical integration the gauss-lengendre Method numerical integration)

2频移键控模拟模型的基本原理、波形,请您仔细浏览,给予评价(2 FSK simulation principle and waveform, please carefully browsing, giving the appraisal)

Image processing lab

说明：  连续波信号调频的雷达处理,利用MATLAB/Simulink进行编程和仿真(FM continuous wave radar signal processing using MATLAB/Simulink programming and simulation)

Code to run the Non-negative Matrix Factorization algorithm as presented in the Lee, Seung 1999 Nature paper.

Drop fall algorithm used to segmentate digits

power_svpwm_multiPhasesLevel_sfun.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_svpwm_multiPhasesLevel_sfun.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

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.