一种自适应的汉语普通话音节清/浊音分段方法

采用离散小波变换(DWT)实现汉语普通话音节的清/浊音分段,算法根据信号性质自适应地确定离散小波变换的尺度,具有较好的非特定人性质,并且对不同采样率及环境噪声有较强的适应性.测试了算法在男、女声,不同采样率及不同信噪比下的清/浊音分段算法的性能.在无噪情况下正确率为99.44%,在信噪比为30dB、15dB及5dB时正确率均可达99.20%,实验结果证明了算法的有效性和对噪声及非特定人的顽健性.      

基于多尺度局部结构化信息测度的鲁棒像素级图像融合算法

现有的图像融合算法不能有效区分基本图像特征和噪声,往往在输入存在噪声时性能变差。自然场景图像中,视觉上显著的图像特征往往表现出一定的几何结构,而噪声缺少结构化信息。基于复数小波变换,利用Von Neumann熵推导了一个结构化信息测度,可以有效区分噪声和视觉上显著的图像特征。图像融合之前利用测度加权输入,从而自适应抑制噪声同时保留图像特征。对几个图像融合方案从主、客观上进行性能比较,显示了新方案的优越性。     

数据聚类方法的研究与分析

聚类分析是近年来迅速发展起来的一种新兴的数据处理技术,它在许多领域有着广泛的应用,尤其是在数据挖掘领域。首先阐述了聚类分析的基本概念和分类,然后针对目前几类主要的聚类分析方法,重点分析了基于密度的DBSCAN算法,基于层次的BIRCH算法以及基于网格的Wave Cluster算法这三种具有代表性的聚类方法,分析了它们的优缺点和时间复杂度。最后提及了聚类分析方法的应用范围以及今后需要解决的问题和发展方向。     

The COMPLEIK subroutine of the IONORT-ISP system for calculating the non-deviative absorption: A comparison with the ICEPAC formula

The present paper proposes to discuss the ionospheric absorption, assuming a quasi-flat layered ionospheric medium, with small horizontal gradients. A recent complex eikonal model (Settimi et al., 2013b) is applied, useful to calculate the absorption due to the ionospheric D-layer, which can be approximately characterized by a linearized analytical profile of complex refractive index, covering a short range of heights between h₁ = 50 km and h₂ = 90 km. Moreover, Settimi et al. (2013c) have already compared the complex eikonal model for the D-layer with the analytical Chapman’s profile of ionospheric electron density; the corresponding absorption coefficient is more accurate than Rawer’s theory (1976) in the range of middle critical frequencies. Finally, in this paper, the simple complex eikonal equations, in quasi-longitudinal (QL) approximation, for calculating the non-deviative absorption coefficient due to the propagation across the D-layer are encoded into a so called COMPLEIK (COMPLex EIKonal) subroutine of the IONORT (IONOspheric Ray-Tracing) program ( Azzarone et al., 2012). The IONORT program, which simulates the three-dimensional (3-D) ray-tracing for high frequencies (HF) waves in the ionosphere, runs on the assimilative ISP (IRI-SIRMUP-P) discrete model over the Mediterranean area ( Pezzopane et al., 2011). As main outcome of the paper, the simple COMPLEIK algorithm is compared to the more elaborate semi-empirical ICEPAC formula (Stewart, undated), which refers to various phenomenological parameters such as the critical frequency of E-layer. COMPLEIK is reliable just like the ICEPAC, with the advantage of being implemented more directly. Indeed, the complex eikonal model depends just on some parameters of the electron density profile, which are numerically calculable, such as the maximum height.     

基于小波变换的图像融合增强算法

针对当前高速摄影系统不能保证采集的高帧频图像中所有目标物体聚焦清晰的特点,提出了一种基于小波变换的图像融合算法,对快速小波变换后得到的低频系数与高频系数采用一种改进型的融合规则进行算法仿真实验,并与传统的图像融合规则对比分析。     

Unmanned aerial vehicle swarm mission reliability modeling and evaluation method oriented to systematic and networked mission

With the development of Unmanned Aerial Vehicle (UAV) system autonomy, network communication technology and group intelligence theory, mission execution in the form of a UAV swarm will be an important realization of future applications. Traditional single-UAV mission reliability modeling methods have been unable to meet the requirements of UAV swarm mission reliability modeling. Therefore, the UAV swarm mission reliability modeling and evaluation method is proposed. First, aimed at the interdependence among the multiple layers, a multi-layer network model of a UAV swarm is established. At the same time, based on the system having the following characteristics—using a mission chain to complete the mission and applying the connectivity of the mission network—the mission network model of a UAV swarm is established. Second, vulnerability and connectivity are selected as two indicators to reflect the reliability of the mission, and aimed at random attack and deliberate attack, vulnerability and connectivity evaluation methods are proposed. Finally, the validity and accuracy of the constructed model are verified through simulations, and the model and selected indicators can meet the reliability requirements of the UAV swarm mission. In this way, this study provides quantitative reference for UAV-swarm-related decision-making work and supports the development of UAV-swarm-related work.     

Network analysis of Chinese air transport delay propagation

The Chinese air transport system has witnessed an important evolution in the last dec-ade, with a strong increase in the number of flights operated and a consequent reduction of their punctuality. In this contribution, we propose modelling the process of delay propagation by using complex networks, in which nodes are associated to airports, and links between pairs of them are assigned when a delay propagation is detected. Delay time series are analysed through the well-known Granger Causality, which allows detecting if one time series is causing the dynamics observed in a second one. Results indicate that delays are mostly propagated from small and regio-nal airports, and through flights operated by turbo-prop aircraft. These insights can be used to design strategies for delay propagation dampening, as for instance by including small airports into the system's Collaborative Decision Making.     

双层星座中负载均衡路由协议研究

提出了一种适用于双层结构卫星网络的负载均衡路由协议LBRD。不同于传统多层卫星路由,协议采用独立的地理位置路由作为同层卫星的基本选路策略,并以层间互补的方式提高路由成功率;在此基础上,为了均衡网络负载,采用邻间链路负载通告的方式,调节单颗卫星的负载;对于多颗过载卫星形成的区域,引入区域均衡机制,通过节点间距离变换,使原本经过该区域的数据流绕行,加速负载恢复。仿真结果表明,协议能够有效地均衡网络负载,减少因拥塞所导致的排队延迟与数据丢失,保证了网络吞吐量。     

推进剂利用及地面测试系统的故障分析与改进设计

简单介绍了某运载火箭推进剂利用系统及其地面测试系统的工作原理,针对试验中出现的故障问题进行综合试验,采用试验分析的方法,深入研究了试验过程及试验数据,进行精确故障定位,采用修正的判断准则对系统进行改进,试验证明改进效果良好,很好地解决了故障问题。     

结构中不可测区域振动响应的预测算法

根据结构中某些可测部件的试验信号,以及其他部件的有限元计算结果,提出了在一定假设条件下复杂结构中不可测区域振动响应的一种预测算法。该算法在识别可测部件所有未知载荷的基础上,预测不可测部件的响应。采用傅里叶变换(FT)将时域载荷转为频域,在获得识别结果后再转回时域的间接法提高预测精度。仿真结果表明,间接法的抗干扰性强、稳定性好,其预测误差与试验误差为同一量级。但对实际工况下方法的有效性、仿真数据的处理等还需作进一步的研究。