MATLAB6.5youhua

horner2.PDF CE COURS VOUS PERMETTRA D APPRENDRE D AVANTAGE SUR LA MÉ THODE DE HORNER PROGRAMMATION MATLAB

高级数字信号处理中用burg法进行的谱估计，共享一下，希望有所帮助(Advanced digital signal processing using burg method of spectrum estimation, sharing, hope I help)

A Homography-Based Multiple-Camera Person-Tracking

图像处理的matlab代码，图像预处理的基本程序，matlab语言基础(Image processing matlab code, image pre-processing of the basic procedures, matlab Language Infrastructure)

creativemall glibal green comcepitong(creativemall glibal green comcepitiong creativemall glibal green comcepitong creativemall glibal green comcepitong creativemall glibal green comcepitong)

MATLAB编写的基于决策树的ID3算法实现，模式识别，人脸识别。压缩包中包含两个源文件和测试图片，ID3源文件为主代码，fi为求熵函数。(MATLAB prepared based on the ID3 decision tree algorithm, pattern recognition, face recognition. Compressed package contains two source files and test images, ID3-based source code files, fi for the sake of entropy.)

在一种变步长LMS 算法的基础上，引进动量因式，提出了一种新的改进LMS 的算法。新算法整体性能优 于变步长LMS 算法以及LMS 算法。通过理论分析，比较了新的算法和变步长LMS 算法以及LMS 算法的收敛性 和稳态性，提出了一种设想以提高新算法的稳态性。仿真试验证明了新算法的优越性以及设想的在仿真条件下的正 确性。(In a variable step size LMS algorithm, based on the introduction of momentum factor, a new improvement of LMS algorithms. The overall performance of the new algorithm is superior to variable step size LMS algorithm and LMS algorithm. Through theoretical analysis, comparing the new algorithm and variable step size LMS algorithm and LMS algorithm convergence and steady-state, and proposes a new algorithm is envisaged to enhance the steady-state nature. Simulation tests proved the superiority of the new algorithm, as well as envisaged under the conditions in the simulation is correct.)

matlab人脸识别代码，用了PCA降维处理，可以进行简单的人脸识别(Face recognition matlab code, using the PCA dimension reduction, face recognition can be a simple)

在数值分析中，比较CG和Lanczos的计算结果.并比较了不同特征值情况下的计算结果。(in numerical value analyse, Compare the CG and Lanczos, futher more, we compare the CG and Lanczos in the different eigenvalue.)

后向投影的一个很好的工具箱，利用matlab编写，很容易看懂，主要用于雷达等方面(Line_Phantoms For Back_Projection Detectability Tests)