基于FFT的MP信号稀疏分解算法的改进

针对基于FFT的MP信号稀疏分解算法中存在的计算量过大的问题,提出了改进算法.改进算法充分利用了当FFT算法的变换长度是2的整数次幂时运算速度最快的性质,用基2 FFF实现信号稀疏分解中的相关运算.理论分析显示,当数字信号长度为1 024采样点时,用FFT算法计算互相关的速度为直接计算的10.6倍.仿真实验结果表明,改进算法的计算速度为直接计算的8.05倍,为原基于FFT的MP算法的3.64倍.     

Methods to reduce dimensionality and identify candidate solutions in multi-objective signal timing problems

Adjusting traffic signal timings is a practical way for agencies to manage urban traffic without the need for significant infrastructure investments. Signal timings are generally selected to minimize the total control delay vehicles experience at an intersection, particularly when the intersection is isolated or undersaturated. However, in practice, there are many other potential objectives that might be considered in signal timing design, including: total passenger delay, pedestrian delays, delay inequity among competing movements, total number of stopping maneuvers, among others. These objectives do not tend to share the same relationships with signal timing plans and some of these objectives may be in direct conflict. The research proposes the use of a new multi-objective optimization (MOO) visualization technique—the mosaic plot—to easily quantify and identify significant tradeoffs between competing objectives using the set of Pareto optimal solutions that are normally provided by MOO algorithms. Using this tool, methods are also proposed to identify and remove potentially redundant or unnecessary objectives that do not have any significant tradeoffs with others in an effort to reduce problem dimensionality. Since MOO procedures will still be needed if more than one objective remains and MOO algorithms generally provide a set of candidate solutions instead of a single final solution, two methods are proposed to rank the set of Pareto optimal solutions based on how well they balance between the competing objectives to provide a final recommendation. These methods rely on converting the objectives to dimensionless values based on the optimal value for each specific objectives, which allows for direct comparison between and weighting of each. The proposed methods are demonstrated using a simple numerical example of an undersaturated intersection where all objectives can be analytically obtained. However, they can be readily applied to other signal timing problems where objectives can be obtained using simulation outputs to help identify the signal timing plan that provides the most reasonable tradeoff between competing objectives.     

有轨电车交叉口交通组织及控制方案优化

有轨电车在运行过程中,易在交叉口处产生瓶颈,导致有轨电车通行速度降低、乘客舒适度下降.从有轨电车交叉口信号优先控制、现状交叉口交通管理与控制优化、公共交通组织优化、慢行交通组织优化4个方面提出了相应的优化措施.以武汉市有轨电车作为实例,提出了一系列改善措施,并利用VISSIM软件仿真模拟了实施效果,仿真结果验证了优化方...     

The receiving of chirp signals with frequency invariant beam response

1 Introduction1 The sensor array and the correlative signal processing methods have been adopted for the ability improvement of detection and orientation in modern sonar systems, and beamforming is a widely used tool in sensor array signal processing for …     

对一起机车误上码案例的分析研究

对一起机车误上码从产生原因和机理上进行了初步研究与分析,认为邻线电磁感应干扰是导致机车误上码的根本原因,并进行了相关计算,且对如何消除误上码现象提出了改进建议。     

Analytical and simulation approaches to understand combined effects of transit signal priority and road-space priority measures

Transit signal priority (TSP) may be combined with road-space priority (RSP) measures to increase its effectiveness. Previous studies have investigated the combination of TSP and RSP measures, such as TSP with dedicated bus lanes (DBLs) and TSP with queue jump lanes (QJLs). However, in these studies, combined effects are usually not compared with separate effects of each measure. In addition, there is no comprehensive study dedicated to understanding combined effects of TSP and RSP measures. It remains unclear whether combining TSP and RSP measures creates an additive effect where the combined effect of TSP and RSP measures is equal to the sum of their separate effects. The existence of such an additive effect would suggest considerable benefits from combining TSP and RSP measures. This paper explores combined effects of TSP and RSP measures, including TSP with DBLs and TSP with QJLs. Analytical results based on time-space diagrams indicate that at an intersection level, the combined effect on bus delay savings is smaller than the additive effect if there is no nearside bus stop and the traffic condition in the base case is under-saturated or near-saturated. With a near-side bus stop, the combined effect on bus delay savings at an intersection level can be better than the additive effect (or over-additive effect), depending on dwell time, distance from the bus stop to the stop line, traffic demand, and cycle length. In addition, analytical results suggest that at an arterial level, the combined effect on bus delay savings can be the over-additive effect with suitable signal offsets. These results are confirmed by a micro-simulation case study. Combined effects on arterial and side-street traffic delays are also discussed.     

微颗粒影响螺旋桨噪声及空蚀损伤试验研究

为分析微颗粒对空蚀损伤及噪声的影响,开展不同水质的检测,提出水质的模拟方法,进行不同水质中的振动空蚀噪声试验、旋转圆盘试验以及循环水槽船后螺旋桨噪声的对比试验。结果表明:水中微颗粒含量对空蚀有较大影响,微颗粒含量高,空蚀破坏更严重;微颗粒对螺旋桨无空泡状态的噪声影响较大,可提高螺旋桨噪声的总声级,而对空泡状态下的螺旋桨噪声影响则不大。

     

气胎离合器状态信号非接触耦合及监测装置的设计与试验

在深入分析气胎离合器常用的电刷.滑环接触式信号装置存在的缺陷的基础上,提出采用非接触式信号耦合传输技术的改进思路和实现方法,设计和研制了信号耦合和处理电路板,试验结果表明,非接触式信号耦合技术可解决传统的接触式信号传输方法在舰船特殊工作环境下不可避免的问题.     

模糊专家系统的快速实现方法及其在鱼雷报警中的应用

给出了一个模糊专家系统的快速实现方法,介绍了具体的知识表示、模糊匹配和推理机的实现方法,并用其构建了用于识别鱼雷的模糊专家系统。由于利用智能线谱检测和提取算法提取出了DEMON图和LOFAR图中的多个高质量的线谱特征,并利用了快速实现方法。此模糊专家系统可以实时给出很好的识别结果。     

铁路牵引用直驱式永磁同步电动机的无位置传感器控制

提出了一种表面式永磁同步电动机无位置传感器的控制方法,适用于要求逆变器利用率高且开关频率低等限制条件的大功率牵引驱动系统.采用含电机电压模型和电机电感模型的观测器,在低速时注入测试信号,可以得到位置和速度信号.阐述了基本估计方法的改进.在实验室用28 kW标准伺服电机成功地验证了该方法.