带有弹药参数的军事系统模型的建立与分析

采用微分方程建立战争模型是一种常用的方法。但是现有的模型通常用于说明某些战术模式,对战术以外的参数没有考虑,而这些参数可能影响到战争的进程。采用高维微分线性方程组建立了包含人员 弹药参数情况的战术模型,拟对其它参数对战争的影响进行分析。分析结果表明,战争的进程不一定会简单地沿着Lanchester模型进展,其它因素也会影响到战争的发展方向。本模型的结论也适用于包含人员 食物参数情况的战术模型。     

基于属性稀疏特征差异度的动态抽象聚类方法

针对高属性维稀疏数据聚类问题,提出高属性维稀疏信息系统概念,给出一种新的基于稀疏特征差异度的动态抽象聚类方法。该方法的优势在于可伸缩性强,是一种面向属性稀疏特征,通过稀疏特征差异度可动态地、有效地实现对属性的归并,且具有一定容错性。该方法将在高属性维稀疏数据挖掘中起重要的作用。     

基于高通滤波和顺序滤波的小目标检测

针对红外图像中弱小目标的检测问题,比较了几种高通模板的效果与性能,提出了一种基于高通和顺序滤波相结合的小目标检测方法。该方法是在采用高通滤波来抑制背景的基础上,利用噪声图像直方图呈高斯分布的特性,用门限判决对图像进行预检测。然后用顺序滤波去虚警点从而得到目标点。实验结果表明,在信噪比SNR>2时该方法能有效地检测出图像中的小目标。     

矢量脱靶量测量系统定位算法研究

提出了一种基于空间目标运动轨迹提取的矢量脱靶量参数估计新方法。该方法利用不同接收天线接收的目标回波信号之间的相位差得到距离差,基于距离差定位方法获得目标运动轨迹的空间定位点序列。通过建立目标运动模型,采用固定区间Kalman平滑滤波的方法获得目标运动的较精确轨迹。利用平滑滤波后的空间位置点,通过对一组线性方程进行求解得到矢量脱靶量参数的估计。仿真结果表明该定位方法可以得到满意的脱靶量估计结果。     

Optimal design study of high order FIR digital filters based on neural network algorithm

An optimal design approach of high order FIR digital filter is developed based on the algorithm of neural networks with cosine basis function . The main idea is to minimize the sum of the square errors between the amplitude response of the desired FIR filter and that of the designed by training the weights of neural networks, then obtains the impulse response of FIR digital filter . The convergence theorem of the neural networks algorithm is presented and proved, and the optimal design method is introduced by designing four kinds of FIR digital filters , i.e., low-pass, high-pass, bandpass , and band-stop FIR digital filter. The results of the amplitude responses show that attenuation in stop-bands is more than 60 dB with no ripple and pulse existing in pass-bands, and cutoff frequency of passband and stop-band is easily controlled precisely .The presented optimal design approach of high order FIR digital filter is significantly effective.     

SINGLE-PERIOD TWO-PRODUCT INVENTORY MODEL WITH SUBSTITUTION:SOLUTION AND PROPERTIES

In this paper, we study a single-period two-product inventory model with stochastic demands and downward substitution. The optimal order quantities are presented and some properties are provided. Comparing with newsboy model, we prove that both the profit and the fill rate can be improved by using the substitution policy.     

“Becoming Different”: Accessing University From a Low Socioeconomic Community—Barriers and Motivators

Access to tertiary education by individuals from low socio-economic backgrounds has been extremely low historically, despite policies to address this inequity. Twenty eight people from a low socio-economic community with almost the lowest rates of access to university in Australia were interviewed to identify the barriers they had encountered and the factors that had enabled them to access and complete a university qualification. Barriers reported occur both within the community, and external to, or on the boundary of the community. Internal barriers included lack of information about the existence of university or its value for individuals, cultural beliefs about acceptable aspirations, a lack of role models within the community, and a lack of the opportunity to compare the impact of a university education on lifestyle, opportunities and options. Motivators identified are categorised as nature of work; interest, role models/comparisons competition/proving, and encouragement.     

一种基于径向基函数网络的盲波束形成方法研究

针对阵列信号处理的特点 ,提出了一种基于径向基函数网络 (RBFNN)的盲波束形成方法。该方法把高阶累积量可消除高斯噪声干扰这一特性和神经网络可并行计算的结构优势有机地结合起来 ,利用高阶累积量估计阵列的导向矢量 ,引入径向基函数网络逼近波束形成的权矢量 ,实现盲波束形成。理论分析和仿真实验表明 ,提出的算法能有效地提高运行速度 ,对系统误差也具有很强的鲁棒性。     

合成孔径雷达干涉灵敏度方程的补充与修正

干涉灵敏度方程是干涉合成孔径雷达系统优化设计和干涉定标的重要工具。目前的灵敏度方程局限于正侧视干涉几何关系 ,且建立在电磁波波前的平面波模型、地球表面的平地模型基础上。对目前灵敏度方程进行补充和修正 ,扬弃平面波模型和平地模型 ,推导了斜视干涉几何关系下的灵敏度方程 ,并进行了比较分析。