时间对准误差分析实验

分析了滤波过程中预测误差情况，针对这一问题专门进行了数字模拟实验，并对于数字实验的结果进行了分析。     

并行分布式运算FIR滤波器的FPGA实现

研究了2比特并行分布式计算（2-bit PDA）在FPGA中实现了FIR滤波器的应用,并在Altera公司的APEX20K1500E系列FPGA中实现了48阶FIR滤波器,实际结果表明使用该方法实现滤波器不但节省了逻辑单元,而且和普通的并行分布式方法相比还提高了运算速率,从而使该滤波器用于实时信号处理时有更大的优越性.     

Efficient Recognition of Human Faces from Video in Particle Filter

Introduction As an active research in computer vision andimage understanding, face recognition from videohas got wide applications, such as human-comput-er interface, video surveillance, ATM and videocommunications[1]. So far, there are many litera-tures on face recognition from video. Many archi-tectures about dynamic face recognition were pro-posed in those literatures. Tracking and recogni-tion were performed separately in Ref.[2]. Thelimitation in this method is that tracking andrecognit…     

基于阿尔法系统的舰船综合导航信息融合方法与仿真

介绍了阿尔法导航系统的特点，提出了一种基于阿尔法信息的舰船综合导航方法，具体阐述了卡尔曼滤波数学模型的建立和滤波实现，并利用Matlab软件进行了仿真和结果分析。     

地下过滤田污水处理生产试验技术经济分析

地下过滤田是土地处理污水的一种形式。它通过铺设在地下的穿孔布水管将污水均匀而又有组织地散布到人工滤料层中,最终缓慢地渗透、扩散到周围土壤中,在经过土壤的过滤、吸附和生化作用后得到净化。为了验证地下过滤系统对生活污水的处理效果,明确地下过滤田的各项经济技术指标     

电力电子系统的无功功率补偿与谐波抑制研究

对电力电子系统的无功功率与谐波抑制方法进行分析。包括谐波的产生、谐波和无功功率的危害、谐波分析的理论基础、非正弦电路的功率，并对并联有源电力滤波器进行了理论分析，对系统加入有源电力滤波器前后利用Matlab／Simulink分别进行仿真研究，比较功率因数和总谐波畸变率，最终满足加入有源电力滤波器后的功率因数接近1，交流侧电流总谐波畸变率小于5％。负载不对称时，加入有源电力滤波器后三相电流完全平衡。仿真结果表明，并联型有源电力滤波器在抑制谐波、补偿无功功率方面具有良好的效果。     

低成本AHRS中Kalman滤波器的降维状态观测器设计

最优控制系统如捷联惯导系统（AHRS）都离不开状态反馈。然而系统的状态变量并不都是易于直接检测到的，这就需要状态观测器。基于减轻导航计算机计算负担和降低成本的考虑，提出Kalman滤波器的降维观测器的设计，并且讨论了误差模型的噪声补偿和降低估值误差的方法。     

基于扩展卡尔曼滤波的船舶纵向运动受扰力与力矩的估计

基于递推最小二乘法设计并实现海浪干扰力和干扰力矩的成型波滤器,对有色的次优卡尔曼滤波和扩展卡尔曼滤波(EKF)的效果进行对比.通过引入成型滤波器,采用EKF,提高了状态估计的精度,实现对随机海浪扰动力和力矩的估计.仿真结果表明,通过扩展卡尔曼滤波对海浪扰动力和力矩进行估计是可行的.     

Modeling measurement errors and missing initial values in freeway dynamic origin–destination estimation systems

Most existing dynamic origin–destination (O–D) estimation approaches are grounded on the assumption that a reliable initial O–D set is available and traffic volume data from detectors are accurate. However, in most traffic systems, both types of critical information are either not available or subjected to some level of measurement errors such as traffic counts and speed measurement from sensors. To contend with those critical issues, this study presents two robust algorithms, one for estimation of an initial O–D set and the other for tackling the input measurement errors with an extended estimation algorithm. The core concept of the initial O–D estimation algorithm is to decompose the target network in a number of sub-networks based on proposed rules, and then execute the estimation of the initial O–D set iteratively with the observable information at the first time interval. To contend with the inevitable detector measurement error, this study proposes an interval-based estimation algorithm that converts each model input data as an interval with its boundaries being set based on some prior knowledge. The performance of both proposed algorithms has been tested with a simulated system, the I-95 freeway corridor between I-495 and I-695, and the results are quite promising.     

考虑背景谐波时PCC谐波电流、电压畸变率计算方法

在设计无源滤波器时，需计算并校验PCC(电网公共点)谐波电流和谐波电压畸变率是否满足谐波标准。本文提出了一种考虑电网背景谐波影响的计算PCC谐波电流、电压畸变率的新方法，并分析了背景谐波对调谐滤波器滤波性能的影响。