It researches three ways of characteristics extraction of signals including zero - center instantaneous feature , wavelet analysis feature and a feature set consisting of fractal dimension , l - z complexity degree , entropy and resemblance coefficient 在特征提取部分研究了信号的零中心瞬时特征、小波分析特征以及由分形、 l - z复杂度、熵和相像系数组成的特征集。
The algorithm consists of two important parts : after dividing the image into blocks , the first step is extracting the blocks " texture feature , and the next step is classifying the features sets into clusters . the compressing is implemented by using the center block 本文的算法主要由两部分组成：将图像分块后，第一步是提取块的纹理特征，第二步是对特征集进行分类，利用中心索引块进行压缩。
Planned in 1979 and started to construct in 1983 , shanghai hongqiao development zone is china ' s exclusive newly developed commercial and business area characteristic of foreign trade and featured by exhibition , displaying , office , residence , catering and shopping 上海虹桥开发区1979年开始规划， 1983年开始建设，是中国唯一以外贸中心为特征集展览、展示、办公、居住、餐饮、购物为一体的新兴商贸区和商务区。
Planned in 1979 and started to construct in 1983 , shanghai hongqiao development zone is china ' s exclusive newly developed commercial and business area characteristic of foreign trade and featured by exhibition , displaying , office , residence , catering and shopping 江门虹桥开发区1979年开始规划， 1983年开始建设，是中国唯一以外贸中心为特征集展览、展示、办公、居住、餐饮、购物为一体的新兴商贸区和商务区。
Furthermore , in order to improve the reusability and adaptability , the paper emphatically studies the 2 - d model - based sort frame and identification mechanism of software component and also presents correlative algorithms applying to optimize the component reuse during the practical exploitation 为了提高可复用软件构件的复用性和适应性，本文重点研究基于二维模型的构件分类结构及识别机理，给出了表征特征集生成算法、表征特征集分层算法和继承树生成算法。
This paper embarks on from rationalism natural language processing and proposes the method of expressing concept using the dynamic attribute set according to the theory of conceptual dependency and complex attribute set . then the paper briefly analyzes the process of constructing the dynamic attribute set via unification , proposes the matching theory that conceptual attribute set can be applied to information retrieval , and basically discusses the realization of information retrieval based on this theory . finally the paper concludes that the necessary and sufficient condition that a document matches a query is that the document must contain all the conceptual bases that appear in the query and be consistent with the relationship among conceptual bases in query 本论文从理性主义自然语言处理出发,根据概念依存理论和复杂特征集提出了概念的动态特征集表示方法,简单的分析了利用合一运算构建动态特征征集的过程,提出了一种将概念特征集应用于信息检索的匹配理论,初步探讨了基于该理论的信息检索的实现,通过匹配过程的深入分析得出文档与查询语句相匹配的充要条件是文档必须蕴含查询语句所包含所有概念基并且必须与查询语句中的概念基之间关联关系相匹配的结论。
First we give the conception of multimedia - instance model , which consist of 7 - tuple mi ( s , f , a , a , fi , sv , fj ' 9 , where s is a set of states , which captures a certain structure to store information . f is a set of features , which presents pieces of information of given states , a is a map from sto 2 " . a " is a set of feature - state relations on 2f xs , which reflects the relation between characteristics of state , fi is a set of relations defined on s . which reflects the relation between states 我们首先定义媒体实例的概念，该媒体实例为7元组mi =口，几且， o ，尽sv ， 919其中， s是一个状态集，一个状态捕获一个确定的用于存储信息的结构； f是一个特征集，一个特征反映给定状态中一则有意义的信息；允： s 2 ?是一个从状态到特征幂集的映射，反映一个给定状态中所具有的特征； "是一个在2 ? s上的关系集，它反映状态中特征之间的关系；胆是一个在s上的关系集，反映状态之间的关系； sv是一个状态变量集； fv是一个特征变量集。
This dissertation has a study on the modulation identification of communication signals . it introduces how to extract characteristics of signals and how to design classifiers . especially , it gives a feature set consisting of fractal dimension , l - z complexity degree , entropy and resemblance coefficient and designs a classifier based on an algorithm called least squares support vector machine 本文针对通信信号的调制识别问题,深入研究了信号的特征提取方法,在此基础上探讨了分类器的设计方法,其中特别提出了由分形、 l - z复杂度、熵和相像系数组成的特征集并设计了基于最小二乘支持向量机算法的分类器。
The research project put forward and established a bp network model for bid assessment of project construction , which established a sorted describing characteristic aggregate , a training aggregate and a learning model . the examples of project practice showed that this method is to be high efficient , reliable and practical 本研究课题提出并建立了建设工程评标的bp神经网络模型，建立了建设工程评标系统分类描述特征集、训练集及学习模型，通过工程实例证明本方法高效、可靠、实用。
