宽带随机混沌雷达高速目标速度估计与成像

随机混沌具有真随机性、对初值敏感、易于产生和控制等特点,频率步进信号易于工程实现和处理,结合两者的优势,提出了一种载频随机步进的随机混沌信号(RSCFSCS)模型,用于高速目标的速度估计和距离维高分辨成像。首先,通过非周期函数激励非线性系统,产生不可预测的随机混沌信号(SCS),经频率调制后用作基带子脉冲。同时,将SCS通过映射变换得到跳频编码(FHC),用来决定调频脉冲串的载频步进。RSCFSCS 速度估计包括粗搜索和精搜索,粗搜索采用固定步长,保证速度偏差小于速度分辨单元,而精搜索采用黄金分割搜索算法可得到精确的速度估计。最后,子脉冲经相干合成形成宽带信号,实现高分辨距离成像。数值仿真表明提出的信号模型和处理算法性能良好。     

对智能金融业态的趋势探索--展望移动金融的下一业态

尝试以金融业的溯源和转变为线索,剖析了以网点机构为代表的物理金融、以网上银行为达标的电子金融和以手机银行为代表的移动金融三大发展业态。在此基础上,分析当前以手机终端模式的移动金融业态的三项不足,并提出一种新型移动金融业态。这种新型业态暂定名为“智能金融业态”,它具备设备个性可穿戴、低碳环保、线下交互、安全私密和智慧高效等五大主要特征。未来,金融业态很可能实现由移动金融业态向智能金融业态的升级,满足客户更广更深层次的需要。     

数字中频GPS信号软件模拟器设计

在对中频GPS信号理论建模与分析的基础上,采用Matlab/Simulink构建了一种精确的数字中频GPS信号软件模拟器,考虑了噪声、欠采样以及接收机时钟误差等的影响.软件模拟器的实现采用Matlab代码编程与Simulink模型混合的方式,方便了不同算法的实现.与传统的GPS信号模拟器相比,文中设计的软件模拟器具备设计灵活、可扩展、易于使用等诸多优点.     

基于MBP算法和深度学习的人脸识别

为了解决在深度学习提取人脸图像特征时,易忽略其局部结构特征和缺乏对其旋转不变性学习的问题,提出了一种基于单演局部二值模式(MBP)与深度学习相结合的高效率人脸识别方法。首先,用多尺度单演滤波器对图像进行滤波,得到幅值和方向信息;其次,用LBP算法和象限比特的方法进行编码,分块计算组合其直方图特征;然后,将提取的单演特征作为深度信念网络(DBN)的输入,逐层训练优化网络参数,得到优异的网络模型;最后,将训练好的DBN网络在ORL人脸数据库上进行人脸识别实验,进行识别率计算,其识别率为98.75%。所提出的方法使用无监督的贪婪算法,隐藏层设定为2层,使用反向传播算法优化网络。相较于已知的人脸识别方法,MBP+DBN算法对光照、表情和部分遮挡变化具有较好的鲁棒性,在人脸识别中识别率较高,具有一定的优势,为图像特征提供了一种新的识别方法。     

Do denominations of origin provide useful quality signals? The case of Bordeaux wines

This paper investigates whether the existing Denominations of Origin (DOs) provide useful quality signals for wine consumers. To test our conjecture that the large number of existing DOs is too many for the typical consumer, we investigate the patterns of co-movement among average monthly wholesale prices for red wines from the 11 main DOs in Bordeaux over 16 years, 1999–2014. Our results indicate that consumers substitute among these wines according to the similarity of semantic elements in the names of DOs on the labels, and not according to prices or terroir that could reflect intrinsic quality where the names as such cannot. This finding suggests that the current DOs are too numerous and complex to provide helpful quality signals to consumers. A substantial reduction of the number of DOs might be warranted to better address the broader informational issue in wine markets.     

Analysing behavioural differences between e- and m-bookers in hotel booking

This study analysed the behavioural differences between e- and m-bookers in online hotel booking. The theoretical relationships among functionality and usability, perceived value for money and time, and satisfaction and loyalty were analysed based on the quality–satisfaction–loyalty framework. Results from a sample of 431 and 401 e- and m-bookers, respectively, affirmed the similarities and differences between the two types of bookers. Results also showed that e- and m-bookers substantially differ in their perceptions on functionality and usability performance, perceived value for money and relative importance of functionality and usability in online hotel booking. Moreover, the findings revealed the moderating effects of perceived value for money and time on the satisfaction–loyalty link among m-bookers.     

Mobile Payment and Informal Business: Evidence from China's Household Panel Data

This paper uses household panel data to explore the impact of mobile payments on China's household business activity. Using a difference‐in‐difference fixed effect specification, I find that mobile payment users are more likely to operate small‐scale and self‐employed informal businesses. The impact of using mobile payment primarily derives from the transition of agricultural families to business owners and the development of informal businesses. The paper illustrates an associated increase in employment and income for family members, with more pronounced effects on low‐income and rural households. It also provides prima facie evidence of the increase in fund transfers, which is important for risk sharing that informal businesses may encounter.     

煤矿上山掘进轨道双提升系统的设计及应用

本文介绍了煤矿长斜巷正头掘进与斜巷中段联巷掘进同时施工的新型运输方式。     

LIN总线维修技术特性

局域互联网络(LIN)是一类串行数据通信的网络通信线,LIN的应用大大减少了车辆电气线路的使用数量,降低了电气线路的故障发生率。本文主要从传输方式、信号特性方面介绍LIN总线特性及LIN总线诊断特性。