Description: function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
％CUM2X Cross-covariance
％ y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
％ x,y - data vectors/matrices with identical dimensions
％ if x,y are matrices, rather than vectors, columns are
％ assumed to correspond to independent realizations,
％ overlap is set to 0, and samp_seg to the row dimension.
％ maxlag - maximum lag to be computed [default = 0]
％ samp_seg - samples per segment [default = data_length]
％ overlap - percentage overlap of segments [default = 0]
％ overlap is clipped to the allowed range of [0,99].-function y_cum cum2x = (x, y, maxlag. nsamp, overlap, flag)% CUM2X Cross-covariance% y_cum cum2x = ( x, y, maxlag, samp_seg, overlap, flag)% x, y-data vectors / matrices with identical dimen sions% if x and y are matrices. rather than vectors. % columns are assumed to correspond to independ ent realizations,% overlap is set to 0, and samp_seg dimension to the row. % maxlag-max imum lag to be computed [default = 0]% samp_seg - samples per segment [default = data_length] o% verlap-percentage overlap of segments [defau lt = 0]% overlap is clipped to the allowed range o f [0,99]. Platform: |
Size: 1716 |
Author:keke |
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Description: function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
％CUM2X Cross-covariance
％ y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
％ x,y - data vectors/matrices with identical dimensions
％ if x,y are matrices, rather than vectors, columns are
％ assumed to correspond to independent realizations,
％ overlap is set to 0, and samp_seg to the row dimension.
％ maxlag - maximum lag to be computed [default = 0]
％ samp_seg - samples per segment [default = data_length]
％ overlap - percentage overlap of segments [default = 0]
％ overlap is clipped to the allowed range of [0,99].-function y_cum cum2x = (x, y, maxlag. nsamp, overlap, flag)% CUM2X Cross-covariance% y_cum cum2x = ( x, y, maxlag, samp_seg, overlap, flag)% x, y-data vectors/matrices with identical dimen sions% if x and y are matrices. rather than vectors. % columns are assumed to correspond to independ ent realizations,% overlap is set to 0, and samp_seg dimension to the row. % maxlag-max imum lag to be computed [default = 0]% samp_seg- samples per segment [default = data_length] o% verlap-percentage overlap of segments [defau lt = 0]% overlap is clipped to the allowed range o f [0,99]. Platform: |
Size: 1024 |
Author:keke |
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Description: 模拟退火算法应用，有图像着色问题，独立集，最大截，旅行商等问题。-Application of simulated annealing algorithm, has the image coloring problem, independent set, maximum cut-off, traveling salesman and so on. Platform: |
Size: 17408 |
Author:蓝裳 |
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Description: 程序功能(Program function)
1、支持网站基本设置功能,公告系统,友情连接
2、支持栏目管理,专辑管理,风格管理
3、可自定义模板,官方会逐渐提供更多模板
4、支持mp3,wma,rm,asf,rmvb,等多种媒体格式
5、歌曲播放时,采用AJAX动态获取播放路径,防止文件路径直接暴露,最大程度防止采集盗链.
未来版本功能:一键扫描,UC整合,独立会员系统,防采集功能,歌曲连播,网银接口 -Programming (Program function) 1, the basic set up to support the web site functionality, public notification system, Link 2, to support the program management, album management, style of management 3, customizable templates, the official will gradually provide more template 4, support mp3, wma, rm, asf, rmvb, a variety of media formats, such as 5, to play songs using AJAX dynamic access to broadcast path, to prevent the file path directly exposed to the maximum extent to prevent the acquisition while navigating to www.sina.com.cn.. Future versions of functions: one-touch scanning, UC integration independent members of the system, anti-acquisition functions, songs连播, network interface Silver Platform: |
Size: 457728 |
Author:刘学武 |
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Description: 算法分析与设计 最大团问题 G的最大团是指G中所含顶点数最多的团。
无向图的最大团和最大独立集问题都可以看作是图G的顶点集V的
子集选取问题可以用回溯法在O(n*(2^n))时间内解决。-Algorithm analysis and design problem G, the biggest group the biggest group is the maximum number of vertices of G contained in the group. Undirected graph of maximum clique and maximum independent set problem can be regarded as the vertex set V G is a subset selection problem can be backtracking in O (n* (2 ^ n)) time to solve. Platform: |
Size: 1024 |
Author:草拟嘛 |
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Description: 图最大团的算法和独立集最大团算法的论文，指导意义明显，详细解释了最大团的算法。-Figure largest group of independent set algorithms and maximum clique algorithm paper, clear guidance, a detailed explanation of the largest groups of algorithms. Platform: |
Size: 397312 |
Author:陈剑心 |
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Description: asp+ACC企业网站管理系统超漂亮,网站建设专家自主开发,是一套通用的,公司,企业自助建站网站管理系统,美观的前台,强大的网站后台管理功能,自助管理前台相关栏目.使公司,企业网站,最大范围被人了解,占得网络市场.本系统有宣传,介绍,展示,推广,销售公司企业的产品与服务,开展网上电子商务业务的,实现营利,是整站系统设计功能的最终目标.完善的网站子模块,如企业简历,企业文化,企业新闻,业内资讯,产品展示,下载中心,企业荣誉,营销网络,人才招聘,客户留言,会员中心,充分考虑了公司,企业中英文网站管理系统的通用需求. 全后台管理方式,后台功能齐全,使用维护方便.无论是生产,销售,还是服务型的大中小型公司,企业的网站管理人员只要会打字,就会建起一个专业的公司,企业网站,随时管理网站内容-Asp ACC enterprise web site management system super beautiful, website construction experts to independent development is a set of general, company, enterprise self-build web site management system, beautiful front desk, powerful website backstage management function, self-help management front desk related columns. The company, the enterprise website, maximum range understood, for the network market. This system have propaganda, introduction, display, promotion, sales of the company products and services, and carry out online e-commerce business, realize the profit, ZhengZhan system design is the ultimate goal of function. Perfect site son module, such as enterprise resume, enterprise culture, the enterprise news, industry in the information, the product show, download center, enterprise honor, marketing network, recruitment, guestbook, member center, fully considered the company, the enterprise management system of Chinese and English website general demand. All the background manage Platform: |
Size: 5483520 |
Author:刘 |
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Description: 2维曲面拟合，gauss or gabor 函数-Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality of fit (sum of squared error) for many different choices of parameters then refining the most promising set of params through least-squares (exhaustive search followed by refinement). Least-squares is statistically equivalent to maximum likelihood estimation of the model parameters on the assumption of independent, normally distributed Gaussian noise in the observations (pixels).
autoGaussianSurf(xi,yi,zi) fits a Gaussian, Platform: |
Size: 8192 |
Author:张信雨 |
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Description: 自己写的android图片浏览控件，可作为独立控件直接嵌入其他布局中，无任何耦合
具有以下特点：
1、支持本地添加图片和从网络添加图片的双重接口
2、支持设置是否有切换按钮，支持切换按钮的资源通过接口来设置
3、支持直接滚动与按钮切换的双重操作
4、切换按钮随图片位置变化而变化，例如当显示0位置图片时，也会只显示右边按钮，当切换至最后一副图片时，会只显示左按钮
5、支持图片的缩放，支持图片最大，最小缩放比率的设置
6、支持设置默认图片-Pictures write your own browser controls, can be used as an independent control embedded in other layout, without any coupling has the following characteristics: 1, dual interface support local add pictures and add a picture from the network, support set if there is a toggle button to support the toggle button resources through the interface to set 3 support directly scroll button to switch the dual operation toggle button with the picture position change and change, for example, when the display position 0 pictures will show only the right button when switching to the last one picture will show only the left button 5 support picture zoom, support image maximum and minimum zoom ratio setting, support to set the default picture Platform: |
Size: 89088 |
Author:大天二 |
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Description: Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of
Gaussian distribution is text-dependent one. For this technology a speaker is
described by a set of HMMs, constructing the set of speech groups spoken by that
person. The speech groups may be phonemes or words [7]. The text-independent
technology is rested upon Gaussian Mixture Speaker Models. For this technology
each speaker is defined by only one model describing all utterances of that person.
Identification in the range of both approaches is executed by evaluation of maximum
a posteriori probability [7]. Platform: |
Size: 3019776 |
Author:rasul |
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Description: 本遗传算法主要采用选择、交叉和变异三种方式实现。在定义域内随机选取50组自变量作为初始种群，进行交叉、变异、选择复制后得到相应的最大函数值-The genetic algorithm is mainly using selection, crossover and mutation are three ways to realize. Randomly selected 50 set of independent variables in domain as the initial population, crossover and mutation, choose corresponding maximum function resulting the copy Platform: |
Size: 3072 |
Author:dengzhenbo |
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Description: 它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。
偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。-It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a " response" matrix, predictive capabilities. Platform: |
Size: 3072 |
Author:hhhh |
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Description: 本文详细介绍了最大独立集的频谱分配算法，如果不考虑认知用户之间的干扰关系以及频谱的效益，本文值得读者借鉴-This paper describes the spectrum allocation algorithm for maximum independent set, if you do not consider the relationship between cognitive interference between users and spectrum efficiency, this article is worth the reader learn Platform: |
Size: 3346432 |
Author:lvjianyu |
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Description: 独立集是指图 G 中两两互不相邻的顶点构成的集合。任意有关图中团的性质都能很自然的转述成独立集的性质。一般而言，寻找图的最大团是 NP 困难的，从而寻找图的最大独立集也是 NP 困难的。用模拟退火算法找出图的最大独立集。(Independent set is a set of vertices in graph G that are not adjacent to each other. The properties of cliques in any graph can be naturally expressed as the properties of independent sets. Generally speaking, it is NP-hard to find the maximum clique of a graph, so it is NP-hard to find the maximum independent set of a graph. Simulated annealing algorithm is used to find the maximum independent set of graphs.) Platform: |
Size: 1024 |
Author:mr_xia |
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Search - set maximum independent