随机需求直通配送一次转载时间的选择

对于随机需求的直通配送系统，在运行过程中按一定规则对各分中心的当时库存进行重新分配(转载)，可以减少非均衡性缺货，提高系统的服务水平。本文分析了在配送周期内只进行一次预防性转载更加合理，并给出了确定转载时间的方法。     

一种低复杂度的频率、时延联合估计新方法

提出了一种基于子空间的正弦信号的频率、时延联合估计快速算法。首先给出一个PM(propagatormethod)算子 ,再由其分块矩阵构造一特殊的矩阵。由该矩阵的特征分解所得的特征矢量给出频率估计 ,而由其特征值及估计的频率得到时延估计。与现有的方法相比 ,由于该算法减少了一次特征分解 ,因而具有较低的计算复杂度。最后 ,用正弦信号及实测语音数据验证了该方法的性能     

设计模式在基于HLA的分布交互式仿真中的应用

将设计模式的思想引入HLA的研究之中，归纳和定义基于HLA的分布交互式仿真领域中的软件设计模式是一种崭新的探索。在分析分布交互式仿真特点的基础上，将运行时对象之间的交互归纳为公布订购模式，这为HLA今后的研究和开发提供了有价值的指导、打下了坚实的基础。     

The M-competition with a fully automatic box–jenkins procedure

CAPRI is a fully automatic and quick procedure for forecasting. It is based on the Box–Jenkins methodology and needs no a priori knowledge about the time series. The 1001 series of the Makridakis competition have been analysed with this program and its accuracy measured in comparison with other methods. CAPRI is recommended for short term forecasting horizons in cases where the user does not want to interfere with the modelling process.     

Application of intervention analysis to a road fatality series in ontario

Effect of an intervention on a road fatality time series is studied using (i) the usual intervention analysis of Box and Tiao (1975), and (ii) CUSUM charts for the one-step-ahead forecast errors. It is shown that the seat belt and speed limit legislations of the Ontario Government had some impact in bringing down the road toll level.     

基于时间的通信导航兼备系统定位误差分析

通信导航兼备系统已成为未来通信导航系统发展方向 ,由美国发展起来的联合战术信息分发系统(JTIDS)是典型代表。研究了通信和导航发展的历程及互相结合的途径 ,分析了JTIDS的工作方式和信号特征 ,讨论了JTIDS通信和导航能力 ;运用导航定位误差分析理论着重对JTIDS的相对导航原理及定位误差进行了深入分析 ,首次给出了该系统的定位误差场分布图和系统工作区。研究和分析结果可为建设和发展通信导航兼备系统提供重要参考     

利用GDOP对蜂窝移动通信系统移动台定位的方法

针对基于网络的到达时间 (TOA)定位系统 ,分析了定位误差与移动台 (MS)位置及参数测量误差的关系 ,结合实际中能同时接收到移动台信号的基站 (BS)数有限、定位误差对移动台位置敏感的特点 ,提出了直接用解析法计算所有位置线的交点 ,然后用几何淡化因子 (GDOP)及参数测量误差的均方差对交点进行加权平均来估计移动台位置的方法。该方法同时考虑了参数误差与几何淡化因子对定位精度的影响 ,不需要矩阵求逆 ,运算量小 ,速度快。适用于存在直达波 (LOS)信号的蜂窝通信环境。     

流水施工组织的工期计算

本文通过实例着重探讨在流水施工中各种情况的工期计算方法。     

A super-resolution algorithm for spectral estimation and time series extrapolation

Recent developments in the signal processing field of electrical engineering have resulted in several frequency domain methods of extrapolating a time series. Insight gained in testing one such method, the Papoulis algorithm, has been used to suggest modifications which greatly improve its performance under most operating conditions where real data are concerned. The modified Papoulis method thus developed has been applied to electricity load forecasting over the short and medium term, as well as to world economic and energy data, to assess the cyclic structure present in each series about a trend.