基于FrFT的差分跳频通信LFM干扰抑制算法

针对差分跳频通信系统抗LFM干扰能力不足的问题,利用差分跳频信号和LFM干扰信号调频斜率参数的不同,通过估计采样信号中LFM干扰信号的调频斜率K和旋转阶次α参数,结合分段、参数估计和均值处理提高估计精度,进一步在采样信号的分数阶时频域二维参数平面(α,μ)中利用LFM干扰信号频带外的平面均值替代LFM信号成分,实现对差分跳频通信中LFM干扰信号的抑制。仿真结果表明,该算法可有效抑制差分跳频信号中LFM干扰信号,提高信噪比约11 d B。     

美海军"宙斯盾"级舰艇反潜装备性能分析

首先简要介绍了以提康德罗加级巡洋舰为代表的"宙斯盾"舰艇的基本性能及该型舰的对潜探测装备,在此基础上,对深海和浅海等不同工作环境中的声呐探测性能进行了分析,最后有针对性地提出了对该型舰艇声呐探测装备的对抗方法.     

关于大型线性规划问题鞍点算法的讨论

关于大型线性规划问题鞍点算法的讨论尚毅,张国光,成孟金（沈阳化工学院１１００２１）ＡＤｉｓｃｕｓｓｉｏｎｏｆｔｈｅＳａｄｄｌｅＰｏｉｎｔＡｌｇｏｒｉｔｈｍｆｏｒＬａｒｇｅＳｃａｌｅＬＰＰｒｏｂｌｅｍｓ￥ＳｈａｎｇＹｉ;ＺｈａｎｇＧｕｏｇｕａｎｇ;Ｃｈ...     

三角形网格上的C1有理插值

本文描述了一种用线性算子的组合插值新方法。较之已往方法,插值函数结构简单,易于计算。并且估计了插值函数的误差,误差阶是O(h~4),比[4]中的误差阶高2.     

时域分析在雷达动目标识别中的应用

本文通过对地面几类目标运动特性的统计研究,利用线性预测的方法进行目标特征的提取,进而用模式识别的理论对地面目标进行自动识别,取得了良好的识别效果。     

对DES密码的一种新的线性分析

首先推广了变换的线性偏差的概念,然后利用它把密码体制线性偏差的数学描述也进行了推广,给出了DES密码的线性偏差与轮函数F的线性偏差的关系,确定了DES密码16轮以内各轮的线性偏差上界。     

The impact of exponential smoothing forecasts on the bullwhip effect

An important phenomenon often observed in supply chain management, known as the bullwhip effect, implies that demand variability increases as one moves up the supply chain, i.e., as one moves away from customer demand. In this paper we quantify this effect for simple, two‐stage, supply chains consisting of a single retailer and a single manufacturer. We demonstrate that the use of an exponential smoothing forecast by the retailer can cause the bullwhip effect and contrast these results with the increase in variability due to the use of a moving average forecast. We consider two types of demand processes, a correlated demand process and a demand process with a linear trend. We then discuss several important managerial insights that can be drawn from this research. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 269–286, 2000     

测试点的选取问题

在故障检测的过程中 ,每个测试点检测需要的时间可能不同。本文研究了如何选取一些测试点 ,使得这些测试点可以检测所有故障 ,而所需时间最少的问题。我们将其转化成整数规划问题 ,并给出一个求解算法 .最后给出一个实例对算法加以说明。     

Applying Lanchester's linear law to model the Ardennes campaign

In modern warfare, many believe the decisive factor in winning a battle is seizing the right moment to shift from defense to attack, or vice versa. This paper attempts to bring that perspective to Lanchester's differential equations of warfare, and continues the application of Lanchester's linear law to the analysis of the World War II battle of Ardennes, as reported in earlier issues of Naval Research Logistics by Bracken and by Fricker. A new variable, shift time, accounting for the timing of the shift between defense and attack is explicitly included in our version of the model, and it helps obtain improved goodness of fit to historical data. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:653–661, 2001     

Extending the MAD portfolio optimization model to incorporate downside risk aversion

A mathematical model of portfolio optimization is usually represented as a bicriteria optimization problem where a reasonable tradeoff between expected rate of return and risk is sought. In a classical Markowitz model, the risk is measured by a variance, thus resulting in a quadratic programming model. As an alternative, the MAD model was developed by Konno and Yamazaki, where risk is measured by (mean) absolute deviation instead of a variance. The MAD model is computationally attractive, since it is easily transformed into a linear programming problem. An extension to the MAD model proposed in this paper allows us to measure risk using downside deviations, with the ability to penalize larger downside deviations. Hence, it provides for better modeling of risk averse preferences. The resulting m‐MAD model generates efficient solutions with respect to second degree stochastic dominance, while at the same time preserving the simplicity and linearity of the original MAD model. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 185–200, 2001