di8zhang

说明：  基于Matlab的Dsp 信号与系统的基础历程包括卷积等(Dsp & signal and system fundamental process bassed on matlab including convolsion)

A Proportional-Integral observer discrete case.

Chess Application developed in C# for academic purposes. We have implemented a function created by us. Though, it has some troubles.

skin segmentation in matlab environment

面接触滑块润滑基于有限差分法，用于求解面接触滑块润滑的油膜厚度、油膜压力等(Lubricating surface contact with the slider based on the finite difference method for solving the contact surface of the slider lubrication film thickness, film stress, etc.)

说明：  多目标优化模型matlab详细代码，文件里面有代码说明。以及代码注释(Detailed code for multi-objective optimization, with code description in the file. And code comments)

wifi ieee 802.11n parameter programme

这是几个仿真利用半导体激光器的交叉相位调制进行全光波长转换的程序(This is a simulation of the use of several semiconductor lasers XPM for all-optical wavelength conversion process)

Very often I see people asking for a tool that offers more than 16 digits or so of accuracy. MATLAB itself only allows you to use doubles or singles in standard arithmetic, so that is the normal limit. The fact is, most of the time, if you can t do it with a double, you are doing something wrong. Good practices of numerical analysis are worth far more than any high precision tool. Even so, there are times when you will have a use for a bit of extra precision. And some of you will just want to play in the huge number sandbox. While some of you may use tools like that written by Ben Barrowes, HPF is written purely in MATLAB, so no compiles are needed. For all of you, whatever your reasons, I offer HPF, a High Precision Floating point tool.

针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 (For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.)