signle

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)

SIMO Single Input and multiple out put system is assumed amd MRC maximum ration combining technique is applied at the receiver, hopefully will be helpful for readers.

MATLAB官网的EMD原始程序，里面包含了C语言的emd程序代码，经过验证该程序可以使用，实现了emd分解。(The official website of the MATLAB EMD original program, which contains the C language EMD code, after verification of the procedure can be used to achieve the EMD decomposition.)

说明：  AM调制，可自行输入频率，功能完善，实用性好(GUI realize AM modulation，To input frequency，Perfect function, practicability。 )

在这个更新的代码，新功能，包括colorbar，samesize包括向量plottting... ％更新版本$日期：5月18日，2011年由梁枯盎斯蒂文斯技术学院 ％更新1：更改int8到Int16的colormap的是，当电流超过64个大，这将导致错误 ％更新2：加入 samesize 为使所有的向量samesize ％更新3：添加colorbar相应的开方的幅度（ü^2+ V键^ 2） ％更新4：错误修复，当你为h = quiverc，这是行不通的。 ------------------------------------------------- ----------- (In this updated code,new features including colorbar, samesize vectors plottting are included Updated version $Date: May 18th,2011 by Liang Kuang at Stevens Institute of Tech Update 1: Change int8 to int16 when current colormap is bigger than 64,which will cause error Update 2: Added samesize for making all the vectors the samesize Update 3: Add colorbar corresponding the the magnitude of sqrt(u^2+v^2) Update 4: bug fixed,when you do h=quiverc, it doesn t work. ------------------------------------------------------------)

MATLAB Stellaria Demo APPS

matpower的最新文档，包括英文版和中文版两个版本 中文版的版本稍早一些(matpower the latest documents, including two in English and Chinese versions of earlier versions of the Chinese version of some)

实验matlab实验matlab实验matlab实验matlab(experimental matlab experimental matlabexperimental matlab experimental matlab)

高斯噪声产生的代码,含有射频噪声干扰的代码(Gaussian noise code, containing RF noise code)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.