阵列信号单信道处理技术

阵列信号处理已广泛应用于许多电子系统中，如微波无源比幅测向系统等，但通道间的振幅和相位的不平衡常常引起较大的测向误差。为了匹配通道间的振幅和相位平衡，可利用卫星通信中的多址联接技术（如ＦＤＭＡ、ＴＤＭＡ或ＣＤＭＡ）构成单信道处理系统来代替多信道系统。文中详细地研究了ＣＤＭＡ单信道系统，建立了系统模型，分析了系统特性，模拟结果证明了这种单信道理论和技术的可行性。     

一种瞬变步长LMS自适应滤波算法

基于规一化起动、平滑递推和ＰＬＳ算法导出了一种新的变步长ＬＭＳ算法。文中分析了起动后的平稳连接和提高起始收敛速度的条件，证明了步长因子μ（ｋ）的瞬变特性及其对减小失调噪声的作用。计算机仿真效果较好，支持了理论分析。     

优化TOPSIS模型在木材加工企业的评价应用——基于SCM视角

考虑到林产品经销商在参与木材加工企业构建供应链时需选取其作为上游合作伙伴,构建包括竞争力、绿色行为、质量、成本和交货期5个一级指标及其14个二级指标的评价指标体系,运用TOPSIS优化改进模型,结合模糊数学评价木材加工企业,最后通过案例证实该评价指标体系的可行性,为林产品经销商提供参考借鉴。     

二语作格动词语义加工中的身物交互效应

This article investigates the theoretical basis and feasibility in the processing of English ergative verbs from the perspective of body-object interaction effects (BOI). It analyzes the motor degree of different verbs, probing into the semantic features and syntactic behaviors of ergative verbs. It also explores the relationships between the BOI effects and different type of verbs in semantic processing, examining the motor prominence of English ergative verbs, as well as analyzing the factors that cause the misusage of English ergative verbs in the second language processing. Further empirical research is needed to verify the BOI effects’ restrictive elements in the processing of English ergative verbs.     

A Compressive Sensing Based Analysis of Anomalies in Generalized Linear Models

In this article, we present a compressive sensing based framework for generalized linear model regression that employs a two-component noise model and convex optimization techniques to simultaneously detect outliers and determine optimally sparse representations of noisy data from arbitrary sets of basis functions. We then extend our model to include model order reduction capabilities that can uncover inherent sparsity in regression coefficients and achieve simple, superior fits. Second, we use the mixed ?₂/?₁ norm to develop another model that can efficiently uncover block-sparsity in regression coefficients. By performing model order reduction over all independent variables and basis functions, our algorithms successfully deemphasize the effect of independent variables that become uncorrelated with dependent variables. This desirable property has various applications in real-time anomaly detection, such as faulty sensor detection and sensor jamming in wireless sensor networks. After developing our framework and inheriting a stable recovery theorem from compressive sensing theory, we present two simulation studies on sparse or block-sparse problems that demonstrate the superior performance of our algorithms with respect to (1) classic outlier-invariant regression techniques like least absolute value and iteratively reweighted least-squares and (2) classic sparse-regularized regression techniques like LASSO.     

A NOTE ON ESTIMATING THE NUMBER OF SUPERIMPOSED EXPONENTIAL SIGNALS BY THE CROSS-VALIDATION APPROACH

In this paper, a procedure based on the delete-1 cross-validation is given for estimating the number of superimposed exponential signals, its limiting behavior is explored and it is shown that the probability of overestimating the true number of signals is greater than a positive constant for sufficiently large samples. Also a general procedure based on the cross-validation is presented when the deletion proceeds according to a collection of subsets of indices. The result is similar to the delete-1 cross-validation if the number of deletions is fixed. The simulation results are provided for the performance of the procedure when the collections of subsets of indices are chosen as those suggested by Shao [1] Shao, J. 1993. Linear model selection by cross-validation. J. Amer. Statist. Assoc., 88: 486–494. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]in a linear model selection problem.     

Aspects of Statistical Computing: What Packages for the 1980's Ought to Do

A wish list of desirable statistical computing capabilities is presented. This may help one question which of these capabilities can be satisfied by existing packages, which might be met through reasonable extensions to these packages, which might require substantial new development, and which ought to be supplied by the computing environment rather than the packages. These questions are explored, taking into account the nature of the statistical work and the choices presented by technology. Attention is given to the barriers to be overcome if future statistical packages are to take full advantage of new technology.     

2008 North American Serials Interest Group Conference: Taking the Sting out of Serials!

Abstract

The twelfth annual MOBIUS Conference was held June 7–9, 2011, at the Holiday Inn Executive Center in Columbia, Missouri. The MOBIUS consortium of Missouri is currently composed of fifty-nine academic libraries, two public libraries, and the Missouri State Library. The conference offered various opportunities, including a keynote address by Meredith Farkas and a networking dessert session on the first night. The second day featured six concurrent sessions, each having six different presentations, along with delicious food, generous door prizes, and the chance to meet with vendors. The third day consisted of four different four-hour post-conference training sessions. Presentations are available for download from the conference Web site.¹     

大数据背景下个人信息处理行为的法律规制——以个人信息处理行为的双重外部性为分析视角

大数据背景下个人信息处理行为既引发数据安全风险等负外部性，也会带来分享经济价值实现等正外部性，"大数据悖论"现象揭示了双重外部性成因。基于"外部性内在化"原理赋予信息主体以个人信息权并赋予数据控制者以大数据财产权虽有助分别规制其双重外部性，但网络大数据背景下其双重外部性规制彼此交互影响而面临两难困境。法经济学关于"损害之相互性"理论证立了基于"风险导向理念"规制个人信息处理以破解其两难困境的经济逻辑。大数据产业发展有赖个人信息处理的"外部性外部化"而实现分享经济。法经济学关于"公地喜剧"理论证立了基于"外部性外部化"规制个人信息处理而满足大数据产业发展需要的经济逻辑。大数据背景下个人信息处理的规制有赖从"压制型法"到兼及"回应型法"的理念转换，从"外部性内在化"兼及"外部性外部化"的机制并举，从数据资源权利配置兼及数字技术权力干预的措施协同，实现大数据产业创新与个人信息安全的有机平衡。     

全球价值链背景下加工贸易企业升级路径分析

金融危机以来国际贸易保护主义色彩浓郁，中国内部粗放型经济增长方式存在一定的不可持续性和人口红利开始逐渐消失，中国加工贸易嵌入发达国家主导的全球价值链低附加值和低生产率问题引起了学者的注意。随着外部贸易环境、国内新常态要素禀赋结构的变化和深化供给侧结构性改革的需要，推动加工贸易企业升级已经成为中国经济结构调整的一个重要部分。通过分析中国加工贸易的起源、发展和现状，描述全球价值链背景下加工贸易的若干特征和“低端锁定”问题，引出了融资约束对企业经营决策、出口行为以及企业全球价值链上地位的影响，并围绕以生产过程、产品升级和功能升级为主的产业内升级和以劳动密集型向技术密集型转变为特征的产业间升级两个角度，提出了中国加工贸易企业在全球价值链上攀升的路径。研究认为，着重强调人力资本积累、本土企业技术外溢的吸收能力以及自主研发能力的培养，同时结合国际产能合作和“一带一路”倡议等现实背景，实现东西双向开放，塑造以我为主的包容性的区域价值链和国内价值链等，是中国加工贸易企业升级的路径和新机遇。