α稳定噪声下基于随机共振的微弱诱发电位潜伏期延长检测

提出了一种基于分数低阶统计量及随机共振技术的鲁棒性时问延迟估计新方法--随机共振共变时间延迟估计(SRCTDE)算法,用于在低混合信噪比条件下及a稳定噪声下微弱诱发电位信号潜伏期延长的检测.SRCTDE算法首先利用带嗓诱发电位信号与双稳态非线性动力系统之间的随机共振效应提高参考及待测诱发电位信号的混合信噪比,在最大对称...     

水性聚氨酯基对位芳纶纤维增强复合带的制备与性能

在不同的工艺条件下制备水性聚氨酯基对位芳纶纤维增强复合带,并对制备的纤维复合带进行力学性能测试,从而寻求最佳工艺条件.运用Weibull统计方法研究不同工艺条件下制备的芳纶复合带的统计应力和形状参数,用以表征复合带的断裂强度及断裂强度分散性.综合考虑确定当处理温度为180℃,砝码压力为19.6 MPa,走丝速度为0.36 m/min时,制备的复合带性能最佳.     

基于R/S检验、ARFIMA模型和小波方差的人民币汇率长记忆性检验

分别应用R/S检验、ARFIMA模型和小波方差对人民币兑美元名义汇率收益率序列的长记忆性进行检验.根据R/S统计量计算出Hurst指数为0.573 745 1,采用ARFIMA(2,d,1)模型对人民币汇率收益率序列进行拟合的效果比较好,其分数差分参数为0.145 7,利用Haar小波对人民币汇率波动绝对值收益率序列进行最大重复离散小波变换,得出其长记忆性参数为0.393 1.3种方法的研究结果均表明人民币兑美元名义汇率收益率序列存在长记忆性.     

沙湾组油气地质特征与勘探实践

准噶尔盆地沙湾组以岩性油气藏为主,存在油砂体规模较小、油层薄、储层岩性变化快等勘探难题。2005年,排2井在沙湾组钻遇油层,日产油49.6 t,地面原油粘度为1.6 mPa·s。立足实践、大胆开拓促成了沙湾组浅层、稀油、高产岩性油藏的突破,高精度三维地震技术发挥了关键作用。车排子地区具有多油源输导、多层系含油、多类型富集、多品位共存的复式聚集特点和“三层楼”油气成藏模式。沙湾组轻质油藏油砂体形态与振幅属性具有较好的对应关系,能够通过地震属性有效识别油水边界。稀油油浸为含油性下限,粉细砂岩为岩性下限,渗透率     

我校2004级和2009级学生体质健康状况对比研究

近年来,大学生体质健康状况下降等问题引起了社会各界的高度关注.基于我省大学生健康成长这一时代课题,使用问卷调查方法,对我校2004级和2009级我校学生身体形态、机能的测试数据进行了统计分析,分析研究了近5年间我校大学生体质健康状况的动态变化趋势,以期对我校大学生群体的体质健康水平问作出科学的评判.研究结果表明,我校2009级和2004级学生相比较,男、女大学生身高增长不显著;男、女生体重增长显著;男、女生视力下降明显;男、女生舒张压也有明显增高.我校大学生身体形态、机能发展不够理想,需要增强体育运动.     

小学语文教材用字的统计分析与问题讨论——以上海二期课改语文教材为例

通过对上海市小学语文教材用字的全面统计后发现,不论是用字的总量还是用字的字种数都存在问题:用字的总量太少,用字的字种数太多.这说明教材编写与课程标准的制定都还需要进一步的研究,都需要提高其操作的科学性.     

基于分数低阶统计量的正交小波盲均衡算法

对于服从分数低阶Alpha稳定分布的非高斯信号,其二阶和高阶统计量都是不存在的。当环境噪声为这种噪声时,基于高阶统计量的常数模盲均衡算法(CMA)的均衡性能很差。为了克服环境噪声服从分数低阶Alpha稳定分布时,CMA的性能缺陷,提出了一种基于分数低阶统计量的正交小波盲均衡算法。该算法利用分数低阶统计量来抑制Alpha稳定噪声,根据最小分散系数准则优化盲均衡算法的权向量,并对均衡器输入信号进行正交小波变换,通过降低均衡器输入信号的自相关性来加快收敛速度。水声信道仿真结果表明,该算法性能明显优于CMA。     

Maxwell's color statistics: From reduction of visible errors to reduction to invisible molecules

This paper presents a cross-disciplinary and multi-disciplinary account of Maxwell's introduction of statistical models of molecules for the composition of gases. The account focuses on Maxwell's deployment of statistical models of data in his contemporaneous color researches as established in Cambridge mathematical physics, especially by Maxwell's seniors and mentors. The paper also argues that the cross-disciplinary, or cross-domain, transfer of resources from the natural and social sciences took place in both directions and relied on the complex intra-disciplinary, or intra-domain, dynamics of Maxwell's researches in natural sciences, in color theory, physical astronomy, electromagnetism and dynamical theory of gases, as well as involving a variety of types of communicating and mediating media, from material objects to concepts, techniques and institutions.     

Retail default prediction by using sequential minimal optimization technique

This paper employed sequential minimal optimization (SMO) to develop default prediction model in the US retail market. Principal components analysis is used for variable reduction purposes. Four standard credit scoring techniques—naïve Bayes, logistic regression, recursive partitioning and artificial neural network—are compared to SMO, using a sample of 195 healthy firms and 51 distressed firms over five time periods between 1994 and 2002. The five techniques perform well in predicting default particularly one year before financial distress. Furthermore, the prediction still remains sound even 5 years before default. No single methodology has the absolute best classification ability, as the model performance varies in terms of different time periods and variable groups. External influences have greater impacts on the naïve Bayes than other techniques. In terms of similarity with Moody's ranking, SMO excelled over other techniques in most of the time periods. Copyright © 2008 John Wiley & Sons, Ltd.     

New Robust Global Motion Estimation Approach Used in MPEG-4

The Global Motion Estimation ( GME)technique is importantfor‘sprites’ generation andobject segmentation tasks involved in MPEG- 4.This paper presents a new robust GME approachusing the novel idea to pre- analyze scene contentbefore motion estimation. The pre- analysis isbased on Spatial Temporal Gradient Scale ( STGS)images derived from the original image sequences.As a result,outliers can be removed from thedominant motion estimate at the initial estimationstep. Compared with class…