sift-MATLAB

利用自相关函数可以进行分析时间序列里面存在的内部特征信息，可以分析这些得到自己有用的信息。(Using the autocorrelation analysis of time series can exist inside the internal characteristic analysis of these information, can get useful information.)

使用matlab产生混沌时间序列的源代码(use Matlab chaotic time series generated source code)

机器学习中关于朴素贝叶斯（NB）方法的Matlab源代码，附带四个数据集用于实验(Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments)

英语译成中文(简体) 所提供的功能解决在量子信息领域的共同问题。给定一个任意多粒子的状态，是真正的多方纠缠？如果被检测为纠缠状态，功能也为它提供了一个所谓的纠缠的见证。 另外一个文档，压缩文件中包含的检测和真正的多方纠缠量化功能。为此目的，乙Jungnitsch，吨Moroder和O. Gühne，物理的思想。牧师快报。 106，190502（2011）（或http://arxiv.org/abs/1010.6049）被应用。 更确切地说，提供下列文件： * fdecwit.m 一个函数来检测任何一个国家真正的多方层面多方纠缠。如果国家被检测为纠缠，它也提供了一个证人。 * fpptwit.m 此功能还可以检测真正的多方纠缠，并提供了证人。然而，所涉及的最小化是那么复杂。因此，虽然它检测到的国家较少，这个功能是一个可行的颗粒较多。 * entmon.m 评估纠缠单调在Phys主办。牧师快报。 106，190502（2011年）的多方状态。 * pt.m 辅助函数来计算一个Hermitian算子部分转置。(The provided functions tackle a common problem in the field of quantum information. Given an arbitrary multiparticle state, is it genuinely multipartite entangled ? If the state is detected as entangled, the functions also provide a so-called entanglement witness for it. Besides a documentation, the zip-file contains functions for the detection and quantification of genuine multipartite entanglement. For this purposes, the ideas of B. Jungnitsch, T. Moroder and O. Gühne, Phys. Rev. Lett. 106, 190502 (2011) (or http://arxiv.org/abs/1010.6049) are applied. More precisely, the following files are provided: * fdecwit.m A function to detect genuine multipartite entanglement of a multipartite state of any dimension. In case the state is detected as entangled, it also provides a witness. * fpptwit.m This function also detects genuine multipartite entanglement and provides a witness. However, the involved minimization is less complex. Therefore, although it detects fewer states, this f)

monte carlo 算法 Denoising of letter A: Ising Prior(monte carlo algorithm Denoising of letter A: Ising Prior)

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单(This program is the most basic particle swarm optimization algorithm, using Matlab to achieve, is very simple)

使用DCT变换分组量化的方法实现音频水印的嵌入，抗攻击性良好(DCT watermarking)

基于先验形状信息的CV模型，能够将先验之外的图像排除，效果很好(The prior shape information based on CV model)

TSP的遗传算法实现。本案例是通过遗传算法实现旅行商问题(TSP genetic algorithm. Through genetic algorithm traveling salesman problem)

此文档介绍在matlab上识别和处理gps数据格式rinex的新方法，对于正在做这方面毕业设计的同学有帮助，也可成为研究者的参考(The document is introduced in the matlab recognition and processing GPS data format rinex new method, are doing this for the graduation design of the students having help, also can become the researchers reference )