shape_detect

关于这个校正设计的程序，我原本打算做3个版本的。第一个就是现在传上来的这个。这个版本，提供了设计思路的由来和适当的过程的引导，但一些计算步骤由使用者自己来完成。我做这个版本的目的是希望，使用者能通过这个程序的使用明白校正的设计思路，至少是从我理解的程度上去理解。如果以后的师弟、师妹们能通过使用这个程序，更加轻松的掌握校正的方法。我就觉得我做了一件意义重大的贡献，我会感到自豪。所以也希望李老师能对其中的错误和不足进行指正。第二个版本是第一个版本的简化版，只给过程的引导，不给设计思路，主要是给用过第一个版本的同学一个加深联系的途径。(i don t know)

一种改进的混沌算法，结合粒子群进化进行改进(An improved chaotic particle algorithm to improve the diversity of PSO)

this matlab program is a mobility model for wsn.

matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。(matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, in order to achieve the classification of information extraction and compression feature space dimension effect, the projected sample assurance model in the new subspace has the largest class room the intra-class distance and the minimum distance, i.e., have the best separability pattern in the space.)

关于混沌通信的一些学术文章，对初学混沌通信很有帮助(these are Some academic articles about chaotic communication, It is very helpful for beginner of chaotic communication-learning gays.)

本文档是本人的自适应控制大作业，作业里分模型参考自适应控制（用smulink仿真）和CARMA模型的最小方差自适应控制，文中有详细的smulink框图和matlab程序，格式美观，分析透彻，图形整齐，对学习自适应控制的朋友有很大的帮助，谨以本人微薄的力量和成果与大家共鸣，(This document is my adaptive control large operations, operating in sub-model reference adaptive control (with smulink simulation) and the CARMA model of minimum variance adaptive control, the text has a detailed diagram smulink and matlab procedures, aesthetic format, analysis and thorough , graphics, neat, in learning adaptive control of a friend has a great help, I would like my meager results of the strength and resonance with the U.S.,)

code for watermarking all ok

上传资料的说明不同傅里叶变换形式直接的联系(this describe switch between all kind of fuliye s format )

利用matlab编写三次样条插值法拟合函数的一般化程序(Cubic spline function using matlab fit function generalization programming)

8Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition 2005-Zhuang-Dai