2

there is many things to say it on this files

一种基于模糊控制的PID算法，入门级别同学可以下载学习(Based on fuzzy PID control algorithm, the entry-level students can download learning)

用kalman算法实现系统辨识，最终实现滤波，具有精度高，收敛快的特点(System identification algorithm using kalman, and ultimately the filter, with high precision, fast convergence characteristics)

Matlab 二维离散余弦变换的图像压缩(Matlab dimensional discrete cosine transform image compression)

实现pls的编程,有完整的数据模型，用仿真数据实现偏最小二乘算法，同时计算T2和SPE(PLS programming realization, have complete data model, with the simulation data achieve partial least square algorithm, and the calculation T2 and SPE )

MATLAB与c++混编的案例代码，可运行，是学习的好例子(MATLAB and c++ mixed case code can be run, is a good example of learning)

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

传统的完整的雷达成像RD算法，其中具体到了距离向、方位向德细节处理(the RD algorithm of traditional radar imaging,many detail are described in it,so it is very usefull for someone who is the first time to learn radar imaging )

用matlab实现了指纹的预处理以及特征点的提取。(Using matlab fingerprint preprocessing and feature point extraction.)

我们导师编写的802.15.3A程序，相对IEEE的程序做了相当大的简化，很值得参考(We tutor prepared 802.15.3a procedure, the relative IEEE procedures to do a considerable simplification, it is worth considering)