改进的干涉仪测向相位一致性校正技术

通道相位不一致是影响测向精度的重要因素之一.提出了一种改进相位一致性校正技术.与传统测向校正技术不同,系统增加了一个自检源,通过实时校正解决了温度、振动等环境条件改变引入的相位不一致性误差.改进的相位一致性校正具有计算量小、工程易实现等特点,不需要重新生成静态校正表,同时也降低了微波通道一致性要求.试验计算分析表明,该校正技术是可行的,并已在实际工程中得到了广泛的应用.     

基于ARFIMA(p,d,q)模型的中国股市长期记忆性研究

本文运用三种估计时间序列长期记忆模型(ARFIMA(p,d,q)模型)的方法(MLE、SPR和GPH)对中国股市的长期记忆性特征进行了实证研究,研究显示出MLE方法优于GPH与SPR方法,并得出中国股票市场具有一般新兴股票市场的特征—长期记忆性,但中国股票市场的这种记忆性在逐渐弱化。     

基于模型外推的异源雷达相参配准

异源雷达带宽相参合成技术的关键和难点之一是相参配准，而对固定相位差异的估计精度较低，通常需采用各种优化算法提高估计精度，但计算量较大。在建立异源雷达回波模型后，分析了两种相位差异对衰减指数和（DE）模型的影响，用数据相关方法估计线性相位差异，并提出一种基于模型外推的固定相位差异补偿方法，将补偿固定相位差异与模型外推合为一步，简单有效，计算量小，不存在残余量，且该外推方法与传统外推方法相比误差基本没有增加。仿真结果表明，在14 dB信噪比下算法取得了令人满意的效果。     

对流层散射通信中基于改进SVD的信道估计算法

针对基于OFDM的对流层散射通信中传统奇异值分解(SVD)信道估计算法以循环前缀长度为界来截取特征值会引入较大信道噪声问题,提出了一种SVD改进算法.该算法先对散射信道的最大多径时延进行估计,再利用该估计值来截取特征值,从而减少了噪声影响.仿真表明,该算法的均方误差以及误码率性能都优于传统SVD算法,信道估计效果接近于最小均方误差(MMSE)算法.     

一种估计多信号频率的快速子空间方法

多重信号分类（Multiple Signal Classification,MUSIC）法在估计多信号频率时需要对采样数据序列的自相关矩阵进行特征值分解，并准确划分出信号和噪声子空间，使得其计算量比较大。利用自相关矩阵的Toeplitz特性快速计算其逆矩阵，通过计算逆矩阵的多次幂来逼近噪声子空间，避免了MUSIC法的特征值分解和估计信号个数的过程。在谱峰搜索环节，采用先粗估计频率值再在小区间进行精细搜索的策略，能够避免搜索无用的频率范围。计算量比较分析以及与理论克拉美罗界（Cramer-Rao Bound,CRB）的对比验证结果表明，快速方法性能与MUSIC法相当，能够较好地逼近CRB，且计算量更小，适合实时性要求高的应用场合。     

准正交空时分组码系统的一种盲信道估计方法

空时分组码(STBC)系统的经典信道盲估计方法,如子空间法(SS)等,都是基于接收端样本自相关矩阵的特征值分解(EVD)或奇异值分解(SVD)来实现信道估计的,而基于QR分解的信道盲估计方法是一种性能优良的新算法.文中将该算法应用到准正交空时分组码系统的信道估计中,结合准正交空时分组码的特性提出了一种新的信道盲估计算法.与以上经典的信道盲估计算法相比,文中提出的算法的计算量大为降低.同时Monte-Carlo仿真表明,当信噪比较低时,该算法比子空间法有更好的性能.     

一种新的跳频信号跳速盲估计算法

提出一种全新的跳速估计联合算法,即将数据在相位微商快速傅里叶变换(PDFFT)前期处理的基础上,再进行差分处理,最后利用最小二乘(LS)法进行线性拟合最终估计出跳速。仿真结果表明,该算法计算量远小于传统的短时哈特莱变换、小波变换和魏格纳分布(WVD)系列,略大于短时傅里叶变换;在估计精度上与前3种方法相当却远高于后者,因而该法很适合实时跳频信号分析。     

基于分数阶傅里叶变换的运动舰船聚焦算法

为解决合成孔径雷达(SAR)图像中运动舰船目标产生的散焦现象，结合对比度最大算法和分数阶傅里叶变换(FRFT)算法，提出了一种改进的对比度分数阶傅里叶变换(CFRFT)自聚焦算法。该算法利用分数阶傅里叶变换对已成像SAR图像进行时频域分析，根据旋转角分别利用参数模型和非参数模型对二阶相位误差和高阶相位误差进行补偿，和传统的相位梯度(PGA)法相比，图像分辨率和旁瓣比提升显著，可以更有效地补偿SAR中舰船运动产生的相位误差。对不同舰船和尾迹SAR图像实验表明，算法对二阶以上的相位误差具有较好的补偿效果，误差估计准确性高，适用范围广，解决了SAR运动舰船的散焦问题，提高了海洋舰船监测的准确性。     

求半正定Hermitian矩阵特征向量的改进乘幂法

经典乘幂法结合压缩法是计算半正定Hermitian矩阵最大前n个特征值对应特征向量的重要方法,但其固定的迭代次数使得待分解矩阵的随机变化和初始向量的不同选择导致计算精度波动较大,同时,较大特征值对应特征向量的计算误差也会影响较小特征值对应特征向量的计算。为克服这些缺点,提出了一种将前后两次迭代所求向量的距离作为迭代终止条件的改进乘幂法,并证明了它在有误差传播时的收敛性。理论计算结果表明,对4阶半正定Hermitian随机矩阵,在相同计算精度前提下,所提方法比经典方法可至少降低一半计算复杂度。     

基于自相关函数相位的正弦信号频率估计新算法

针对加性高斯白噪声的正弦信号,提出了基于自相关函数相位的频率估计新算法。首先,推导了一种新的自相关函数相位的频率估计式,然后,针对频率估计范围与频率估计精度之间的矛盾问题,提出了一种消除相位模糊的方法。算法分析与仿真结果表明,在信噪比高于6 dB时,估计方差接近克拉美罗下界（CRLB）,与TSA算法相比,在估计性能相同条件下,具有更低的计算量,便于工程实现。     

美国国际贸易法院判定美国商务部对河北兴茂轮胎有限公司非公路用轮胎“双反”措施不当案评述

美国进口商和中国出口商不满美国商务部对来自中国的某些非公路用轮胎实施反倾销和反补贴税的裁定,向美国国际贸易法院提出起诉。美国国际贸易法院裁定,美国法律没有明确规定反倾销税法是否可适用于非市场经济国家;本案中美国商务部做的"双反"裁定,在方法上不合理。本文在介绍该案的基本案情、归纳法院推理和判决的基础上,对该案涉及的法律问题做了简要评论。     

How do economic,cultural, and global-connectedness distances moderate the effect of customers’ experiences on their intention to revisit non-indigenous restaurants? Evidence from Korean restaurants

In this study, we evaluate how the effect of customers' experiences on revisit intention for non-indigenous restaurants can be moderated by economic distance (ED), cultural distance (CD) and global-connectedness distance (GD) between the country of origin for a given non-indigenous restaurant and the customer’s resident country. Surveys were conducted in seven countries across three continents, and the levels of ED, CD and GD between Korea and the seven countries were used as moderators. The findings suggest that the types of food and staff are two elements that should be emphasized in countries that are relatively close to Korea. Conversely, elements like the atmosphere of the restaurant and word of mouth should be emphasized in countries that have greater distances from Korea. Of the three distances considered in the study, GD had the strongest moderating effect on the relationship between customers’ experiences and their intentions to return to the restaurant. As a whole, the results imply that ED, CD and GD are important points of reference when considering prior experience while selecting a target country based on the strength of the restaurant’s experience management.     

The political market for immigration restrictions: Model and test

This paper addresses the important question of whether public investment spending on economic infrastructure enhances economic growth in Mexico. It estimates a Cobb-Douglas production function that includes public infrastructure capital. Using cointegration analysis, the paper estimates a vector error correction model (VECM) for the 1995?–?99 period. The results suggest that there is a long-term stable relationship among the variables included in the VECM. The evidence also indicates that both public infrastructure spending and private capital formation have a positive and highly significant effect on the rate of output growth. Finally, the impulse response functions (IRF) and the variance decompositions (VDC) of the endogenous variables in the VECM suggest that the response of private capital to public infrastructure is positive while the reverse causation is not affirmed. From a policy standpoint, the findings call into question stabilization policies that disproportionately reduce public infrastructure to meet targeted reductions in the fiscal deficit (JEL, O1, O47, O54).     

PTE,innovation capital and firm value interactions in the biotech medical industry

Unlike previous studies which only focus on the main effect between IC and FV, this research includes PTE with the gap of resource-based view. IC is a key element in creating a competitive advantage, as it has a great influence on FV. A company may put relatively less into IC if it demonstrates higher efficiency. However, previous studies have neglected the fact that relative efficiency and IC affect FV and stock returns directly and indirectly. The research period was from 2006 to 2010 and the main research methods include HRA and DEA. The main research findings include the following. (1) There is a space for improvement in terms of the total technical efficiency. (2) PTE has a significant moderating effect between IC and FV. (3) IC and PTE have a significant influence on FV. (4) Apart from PTE and stock returns, IC and FV show significant differences within the sub-industry.     

基于风险调整收益方法的企业信用风险管理研究

文章根据风险调整收益（RAROC）的原理,借鉴J.P.摩根的信用计量CreditMetrics模型中信用等级转移的思想,构建了应收账款回收期内受信企业信用状况转移矩阵,并据此计算出企业信用VaR值和经济资本CaR值,进而计算RAROC比值,可为企业信用销售决策提供依据。通过将RAROC方法引入企业信用风险管理体系,可以对企业经营活动进行基于风险的绩效考核和业绩评价,以期提高企业信用风险管理水平。     

高效液相色谱-电感耦合等离子体质谱法测定粉质化妆品中的六价铬

采用高效液相色谱（HPLC）与电感耦合等离子体质谱（ICP-MS）联用技术,建立了粉质化妆品中六价铬的测定方法。样品经0.05 mol/L氢氧化纳溶液超声振荡提取;HPLC采用Hypersil GOLD C18柱分离,以5%（v/v）甲醇-2 mmol/L四丁基硫酸氢铵水溶液（pH 4.0）作为流动相;ICP-MS测定选用碰撞池技术以消除40Ar12C对52Cr的谱学干扰。方法学研究结果表明,添加水平为0.040-2.000 mg/kg时,回收率为77.5%-107.5%,相对标准偏差（RSD）小于10%。     

Is the cure worse than the disease? The effect of emerging market MNEs on host country corruption

In recent years, there has been an exponential increase in the amount of foreign investment by emerging market multinational enterprises (EMNEs). While it has been debated whether EMNEs strengthen or weaken the institutions in host countries they invest in, the literature has paid limited attention to how EMNE investment impacts corruption in other emerging markets, one of the most significant destinations of EMNEs. Following Hoskisson et al. (2013), we categorize two types of emerging markets as targets of EMNE investment, a) low-income emerging markets and b) middle-income emerging markets, based on their institutional and market development. Building on the theory of firm-specific advantages (FSAs) and the institutional advantage (IA) of EMNEs, we reason that EMNEs enter foreign markets in accordance to where their skills and competencies can be effectively utilized, and this impacts corruption in the host country. We make two key arguments: (1) EMNEs predominantly use their IA in low-income emerging markets, which in the long term increases corruption in the host market, and (2) EMNEs predominantly use their FSAs to gain competitive advantage in middle-income emerging markets, which decreases corruption in the host market. Empirical analysis of Chinese outward FDI from the 2008-2018 period supports our hypotheses. Our research contributes to both the literature on EMNEs and corruption.     

Why Consumers in Developing Countries Prefer Foreign Brands: A Study of Japanese Brands in Vietnam

ABSTRACT

Building on social-identity theory, the research develops a model for understanding of the impact of consumer identification with a nation on consumers' brand evaluations. It posits that developing-country consumers' identification with a foreign (developed) nation influences three factors—consumer-based brand equity, consumer-based country image, and consumer-based brand credibility. The research was informed by data from 400 Vietnamese consumers in relation to two Japanese brands Sony and Honda and analyzed using structural equation modeling (SEM). The findings show that Vietnamese (developing-country) consumers prefer Japanese (developed-country) brands over domestic brands, when these consumers identify with the developed nation.     

认知FrFT域通信系统及其抗干扰性能分析

为了增强无线通信系统的抗干扰能力,设计了一种认知FrFT(分数傅里叶变换)域通信系统（ CFrFTDCS ）,在变换域通信系统中采用分数傅里叶变换,并与认知无线电技术结合,给出了系统的结 构框图和工作原理,分析了系统的抗干扰性能。计算机仿真结果表明,CFrFTDCS具有较强的 抗 干扰能力,针对单音干扰、窄带干扰和Chirp干扰,CFrFTDCS的平均误码率性能比直接序列 扩频（DSSS）通信系统分别改善了约15.70 dB、13.29 dB和13.79 dB,比传统 的变换域通信系统（TDCS）分别改善了约0.18 dB、0.23 dB和3.63 dB。     

供应链和虚拟企业:比较及转化

供应链管理和虚拟企业是已经在世界范围所采用的概念。这些概念包括一系列管理、组织和技术问题,公司为了提高竞争能力,开拓市场机遇,建立合作联盟。供应链管理是一种集成的管理思想,从战略上整体地整合供应商和顾客。虚拟企业是一种动态的临时组织形式,不同的企业为了开拓商业机遇而通过合作弥补自身竞争力的不足。虽然他们有各自的特点,但是也有共同点。