Displacement Following of Hidden Objects in a Video Sequence

In a video sequence, computing the motion of an object requires the continuity of the apparent velocity field. This property does not hold when the object is hidden by an occlusion during its motion. The minimization of an energy functional leads to a simple algorithm which allows the recovery of the most likely trajectory of the occluded object from optical flow data at the border of the occlusion. Optical flow used for developing our method is an improvement on any variational technique of computing it. This improvement is based on a multichannel segmentation.     

一种改进的永磁同步电动机位置估算方法

介绍了一种永磁同步电动机转子的位置估算的改进方法。该方法考虑了永磁转子位置变化对电动机磁路饱和的影响，采用转子转速的估算值对转子的位置角进行校正。实验表明，在低速和较高速运行时，该方法都能够得出较为精确的转子位置估算。     

用神经网络实现对感应电动机的转速估计

根据感应电动机数学模型,介绍了一种利用神经网络进行感应电动机转速估计的新方法,在该方法中采用一个三层神经网络作为速度估计器来估计转速。仿真结果表明这种基于人工神经网络的转速估计模型可以准确地跟踪感应电动机转速的变化,具有良好的动态跟随性能。     

Load modeling at electric power distribution substations using dynamic load parameters estimation

This paper is focused on electric power distribution substations load modeling using dynamic load parameters estimation. The load parameters are estimated using two models: the exponential and the ZIP load models. Since the load bus voltage and parameters are known one can determine the active and reactive power injections of this bus and include these pseudo-measurements in the state estimation in order to improve observability and estimation accuracy. The dynamic parameter estimation is developed using the weighted least squares method in a recursive form and the tests are carried out based on actual measurements. It is shown that the estimated parameters (for both load models) at a distribution substation are valid, since the obtained active and reactive power residuals are very close to zero.     

基于锁相环模型的PMSM无传感器矢量控制研究

介绍了适用于永磁同步电机转子转速与位置检测的数学模型．该数学模型是从锁相环的数学模型中推导出来的，通过检测电机的电流和电压信号，从中提取与电机转子位置有关的信息，以达到无速度传感器控制的目的．     

An estimation approach for dividable multiattribute utility of housing via questionnaires of consumers'' ordinal multicriteria preferences

multi-function characteristic. How to evaluate the multi-functional nature of housing is very useful in both theory and in application, yet it is often ignored in China. This paper introduces an approach to estimate the muhicriteria function of housing using multiattribute utility theory (MAUT) based on consumers' ordinal multicriteria peferences as determined via questionnaires. When compared with the classic framework in which MAUT is applied, this approach needs less prior information and subjective comparisons and thus can allay many of the operational difficulties involved in assessment. Some potential applications to the China housing market are also discussed.     

关于CBP算法的一种新型滤波函数和它的性质

用卷积反投影(CBP)算法作CT重建,滤波函数是关键.本文建议一种新型滤波函数,给出了用它作CT重建的误差估计,分析了该滤波函数的时频特性,并用来作局部重建.模拟和实测数据的数字实验表明其在保证空间分辨率的同时能较好地克服Gibbs效应.     

非均匀周期采样多率系统的一种辨识方法

本文利用提升技术,推导了非均匀采样多率系统的提升状态空间模型.对于状态可测量的多率系统,利用最小二乘原理,给出了模型参数矩阵辨识方法;对于状态不可测的未知参数多率系统,利用递阶辨识原理,在考虑提升模型的因果约束下,将提升系统分解为子系统进行辨识,形成了状态空间模型递阶辨识方法.仿真例子表明,本文提出的递阶辨识方法是有效的.     

Robust统计在主动声纳分裂波束目标方位走向估计中的应用

主动声纳通常采用分裂波束双通道互谱法进行目标方位估计，但信号处理过程中目标回波脉冲长度往往和信号处理帧周期长度不匹配，或者在整个信号处理帧周期的信噪比不一致，造成瞬时方位估计目标走向算法具有较大的误差，不利于目标参量估计与分类。采用Robust统计对瞬时方位估计数据进行处理，能够有效降低目标方位走向估计的误差。本文通过对Huber估计进行了分析并提出了改进Huber估计，给出了其工程实现算法，实验验证该Robust统计在降低目标方位走向估计误差上具有稳健收敛的性能。     

CG＆CAD多媒体CAI课件设计与制作准则的研究

本着充分发挥课件功效和设计出具有人文关怀的课件的目的，综合传统教学手段和现代计算机多媒体技术，从课件内容、组织形式、呈现方式、操作方法、课件的健壮性和可维护性等方面结合计算机图形学与CAD课程提出了多媒体CAI课件的质量标准、设计与制作准则——教学内容科学化、组织形式模块化、课件系统平台化、呈现方式综合化、制作手段先进化、易操作和易维护。并实现了该课程的多媒体CAI课件。