随着电子商务的迅速发展,分布式数据库逐渐取代了以往单个数据库,因此对数据的分布式查询提出了要求。本文探讨了SQL Server 2000分布式数据库系统下分布式数据的查询方法,还简单介绍了通过可更新分区视图实现分布式更新的可能,对SQL Se...随着电子商务的迅速发展,分布式数据库逐渐取代了以往单个数据库,因此对数据的分布式查询提出了要求。本文探讨了SQL Server 2000分布式数据库系统下分布式数据的查询方法,还简单介绍了通过可更新分区视图实现分布式更新的可能,对SQL Server 2000分布式数据库系统的开发应用具有参考价值。展开更多
基于势概率假设密度滤波(Cardinalized Probability Hypothesis Density,CPHD)检测前跟踪(Track before detect,TBD)算法能有效解决未知目标数的弱小目标检测跟踪.文章深入研究了CPHD算法,从标准CPHD滤波的粒子权重更新出发,结合检测前...基于势概率假设密度滤波(Cardinalized Probability Hypothesis Density,CPHD)检测前跟踪(Track before detect,TBD)算法能有效解决未知目标数的弱小目标检测跟踪.文章深入研究了CPHD算法,从标准CPHD滤波的粒子权重更新出发,结合检测前跟踪的实际,合理地推导出CPHD-TBD算法的粒子权重更新表达式;分析了CPHD滤波目标势分布的物理意义,实现了目标势分布更新计算在检测前跟踪的应用.将CPHD滤波和TBD进行有效结合,提出了基于势概率假设密度滤波的检测前跟踪算法,并给出其详细实现步骤.仿真实验证明提出的CPHD-TBD算法与现有概率假设密度检测前跟踪(PHD-TBD)算法相比,能更详细地传递目标分布信息,从本质上改变了PHD-TBD对目标数估计的方式,能更准确稳定估计目标数,实现了对目标的发现和状态准确估计,性能明显更优.展开更多
The differences between two sequences of nonnegative independent and identically distributed random variables with sub-exponential tails and the random index are studied. The random index is a strictly stationary rene...The differences between two sequences of nonnegative independent and identically distributed random variables with sub-exponential tails and the random index are studied. The random index is a strictly stationary renewal counting process generated by some negatively associated random variables. Using a revised large deviation result of partial sums, the elementary renewal theorem and the central limit theorem of negatively associated random variables, a precise large deviation result is derived for the random sums. The result is applied to the customer-arrival-based insurance risk model. Some uniform asymptotics for the ruin probabilities of an insurance company are obtained as the number of customers or the time tends to infinity.展开更多
针对短时傅立叶变换在分析信号频谱时存在谱泄露的问题,提出了一种利用交替方向乘子法(the alternating direction method of multipliers, ADMM)求解谱寻求问题用于非平稳信号时频分析的方法。将求解非平稳信号各个时间窗内的频率系数...针对短时傅立叶变换在分析信号频谱时存在谱泄露的问题,提出了一种利用交替方向乘子法(the alternating direction method of multipliers, ADMM)求解谱寻求问题用于非平稳信号时频分析的方法。将求解非平稳信号各个时间窗内的频率系数看成是一个代价函数加惩罚函数的凸优化问题,通过引入辅助变量,将两项中的未知参数进行交替分布式更新得到原问题的最优解。使用该方法对一段仿真信号进行时频分析,结果表明此方法在提高频率分辨率的同时抑制了噪声。展开更多
文摘随着电子商务的迅速发展,分布式数据库逐渐取代了以往单个数据库,因此对数据的分布式查询提出了要求。本文探讨了SQL Server 2000分布式数据库系统下分布式数据的查询方法,还简单介绍了通过可更新分区视图实现分布式更新的可能,对SQL Server 2000分布式数据库系统的开发应用具有参考价值。
文摘基于势概率假设密度滤波(Cardinalized Probability Hypothesis Density,CPHD)检测前跟踪(Track before detect,TBD)算法能有效解决未知目标数的弱小目标检测跟踪.文章深入研究了CPHD算法,从标准CPHD滤波的粒子权重更新出发,结合检测前跟踪的实际,合理地推导出CPHD-TBD算法的粒子权重更新表达式;分析了CPHD滤波目标势分布的物理意义,实现了目标势分布更新计算在检测前跟踪的应用.将CPHD滤波和TBD进行有效结合,提出了基于势概率假设密度滤波的检测前跟踪算法,并给出其详细实现步骤.仿真实验证明提出的CPHD-TBD算法与现有概率假设密度检测前跟踪(PHD-TBD)算法相比,能更详细地传递目标分布信息,从本质上改变了PHD-TBD对目标数估计的方式,能更准确稳定估计目标数,实现了对目标的发现和状态准确估计,性能明显更优.
基金The National Natural Science Foundation of China (No.10671139,11001052)the Natural Science Foundation of Jiangsu Province(No. BK2008284 )+2 种基金China Postdoctoral Science Foundation ( No.20100471365)the Natural Science Foundation of Higher Education Institutions of Jiangsu Province (No. 09KJD110003)Postdoctoral Research Program of Jiangsu Province (No.0901029C)
文摘The differences between two sequences of nonnegative independent and identically distributed random variables with sub-exponential tails and the random index are studied. The random index is a strictly stationary renewal counting process generated by some negatively associated random variables. Using a revised large deviation result of partial sums, the elementary renewal theorem and the central limit theorem of negatively associated random variables, a precise large deviation result is derived for the random sums. The result is applied to the customer-arrival-based insurance risk model. Some uniform asymptotics for the ruin probabilities of an insurance company are obtained as the number of customers or the time tends to infinity.
文摘针对短时傅立叶变换在分析信号频谱时存在谱泄露的问题,提出了一种利用交替方向乘子法(the alternating direction method of multipliers, ADMM)求解谱寻求问题用于非平稳信号时频分析的方法。将求解非平稳信号各个时间窗内的频率系数看成是一个代价函数加惩罚函数的凸优化问题,通过引入辅助变量,将两项中的未知参数进行交替分布式更新得到原问题的最优解。使用该方法对一段仿真信号进行时频分析,结果表明此方法在提高频率分辨率的同时抑制了噪声。