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说明：  用MATLAB编写UT变换的程序，用于数学计算(UT transform using MATLAB program written for the mathematical calculations)

Finds motifs and the optimum width via Gibbs sampling. No toolboxes required.

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)

实现单站无源定位仿真算法 目标进行二维直线运动(Simulation for single observer passive location algorithm for two-dimensional linear motion target)

LTE MAC Scheduler introduction

绘制钢筋混凝土截面弯矩-轴力-曲率的程序，非常实用，适用用于做截面分析。(A program for drawing the M-N- of reinforced concrete cross section is very practical and suitable for making cross section analysis.)

互质MIMO阵列的DOA估计，同时含有蒙特卡洛计算误差。(DOA estimation based on MIMO.)

遗传算法在求解一元函数极值中的应用，可供新手学习、参考(a genetic algorithm is given to solve a simple function’s extremum problem.)

说明：  本文章阐述了如何产生m序列，对初学者是一份很重要的资料(This article describes how to generate m sequence, for beginners is a very important information)

人工神经网络控制工具箱（其中包括各种学习方法、训练方法）----神经网络机器人视觉伺服。(Artificial neural network control toolbox (which includes a variety of learning methods, neural network training methods )---- robot visual servo.)