基于主元分析的车牌图像倾斜校正新方法

为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响,提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。在该方法中,PCA被用于求取坐标变换矩阵以进行图像旋转修正。将原始的像素坐标矩阵经过中心化后转换为2维协方差矩阵,再奇值分解为能反映图像倾斜方向的2维对角矩阵和坐标变换矩阵。算法的时间复杂度分析与试验结果均表明:相对于Hough等搜索倾角的校正方法,PCA方法缩短了计算时间1￣2个数量级,并且在污迹、光照不均等条件下也能获得较好效果。     

竖向荷载作用于半无限体内部时的粘弹性解

建筑物的持续沉降,特别是软土地区的建筑物基础沉降通常与地基土的流变性密切相关。考虑地基土的粘弹性特征,系统研究了空间半无限体内部作用集中力时的粘弹性解。研究假定半无限体为线性粘弹性介质,半无限体在内部集中力作用下的应力状态为三维应力状态,应力球张量和应变球张量之间符合弹性关系,而应力偏张量和应变偏张量之间符合Kevin固体粘弹性应力应变关系。利用半空间体内部受竖向集中力的Mindlin弹性解,根据准静态弹性-弹粘性对应原理,在相同荷载条件下,首先对弹性解进行Laplace变换,然后将弹性解中的物理参数用线性粘弹性理论中经过Laplace变换的物理参数来替代,最后再进行Laplace逆变换,求得位移、应力粘弹性解答。作为解答的应用,给出了粘弹性半无限空间体内部矩形面积上作用有竖向均布荷载、三角形分布荷载时的粘弹性沉降计算公式。解答的退化验证表明,该粘弹性解答是正确的,所得到的解答对工程实践具有一定的意义。     

沿视平面任意方向上运动模糊图像的几何变换

运动所产生的图像模糊在生活中是常见的,对其进行处理的方法有很多种.常见的一种方法是将这个过程用矩阵的方程表示出来,但是这种方法只适合于求解水平方向上的直线运动模型.对非水平方向上的运动来说,就要对运动图像进行预处理,将其转换到水平方向上,介绍如何对运动方向进行识别及利用几何变换对图像进行处理的过程.     

Spectral entropy analysis of different alpha band rhythms in relation to hand motor imagery

The event-related desynchronization/synchronization(ERD/ERS) time courses of lower and upper alpha band rhythms during hand motor imagery are investigated respectively by Fourier Sectral Entropy (FSE) in this paper. By analyzing one group of BCI competition data, it was found that FSE within upper alpha band displays a pronounced increase and decrease over contralateral and ipsilaterai brain areas respectively at the onset of hand motor imagery, which is corresponding to the antagonistic ERD/ERS patterns in previous studies. Different from the upper alpha activity pattern, FSE within lower alpha band displays a consistent increase over both two hemispheres hand representative areas. The preliminary results show that FSE could disclose the different behaviors of the upper and lower alpha band rhythms so that a new idea with the complexity measure is provided to characterize functional dissociation of lower and upper frequency alpha rhythms in relation to hand motor imagery.     

基于小波变换的传感器故障检测技术研究

介绍了小波变换的基本理论及小波技术用于传感器故障检测的基本原理，给出了传感器故障检测方法，仿真实例证明了这一技术的有效性。     

LAPPED TRANSFORM DOMAIN INTERFERENCE EXCISION USING MODIFIED MEDIAN FILTER

ＩｎｔｒｏｄｕｃｔｉｏｎＩｎｏｒｄｅｒｔｏｍｉｔｉｇａｔｅＮＢＩｉｎｓｐｒｅａｄｓｐｅｃｔｒｕｍｃｏｍｍｕｎｉｃａｔｉｏｎｓｙｓｔｅｍ，ｉｔｉｓｏｆｔｅｎｎｅｃｅｓｓａｒｙｔｏｓｕｐｐｌｅｍｅｎｔｔｈｅｉｎｎａｔｅｐｒｏｃｅｓｓｉｎｇｇａｉｎｂｙｕｓｉｎｇａｄｄｉｔｉｏｎａｌｓｉｇｎａｌｐｒｏｃｅｓｓｉｎｇｔｅｃｈｎｉｑｕｅｓｓｕｃｈａｓｔｒａｎｓｆｏｒｍｄｏｍａｉｎｉｎｔｅｒｆｅｒｅｎｃｅｅｘｃｉｓｉｏｎ（ＴＤＩＥ）．ＴＤＩＥｈａｓｔｗｏｋｅｙｐａｒｔｓ．Ｔｈｅｆｉｒｓｔｉｓｔｏｃｈｏｏｓｅａ…     

港城路横断面设计的主要影响因素分析

外高桥地区的港城路作为长江西路隧道浦东的对接工程,有其独特的交通使命。该文通过对港城路现状建设条件、规划要求,以及交通需求进行分析论证,提出了有利于近远期结合的横断面方案,减少远期废弃工程。     

Forecasting container throughput based on wavelet transforms within a decomposition-ensemble methodology: a case study of China

To improve predictive accuracy, new hybrid models are proposed for container throughput forecasting based on wavelet transforms and data characteristic analysis (DCA) within a decomposition-ensemble methodology. Because of the complexity and nonlinearity of the time series of container throughputs at ports, the methodology decomposes the original time series into several components, which are rather simpler sub-sequences. Consequently, difficult forecasting tasks are simplified into a number of relatively easier subtasks. In this way, the proposed hybrid models can improve the accuracy of forecasting significantly. In the methodology, four main steps are involved: data decomposition, component reconstruction based on the DCA, individual prediction for each reconstructed component, and ensemble prediction as the final output. An empirical analysis was conducted for illustration and verification purposes by using time series of container throughputs at three main ports in Bohai Rim, China. The results suggest that the proposed hybrid models are able to forecast better than do other benchmark models. Forecasting may facilitate effective real-time decision making for strategic management and policy drafting. Predictions of container throughput can help port managers make tactical and operational decisions, such as operations planning in ports, the scheduling of port equipment, and route optimization.     

基于分数阶傅里叶变换的线性调频信号检测算法

针对复杂噪声背景下线性调频信号检测问题,利用分数阶Fourier变换具有解除时频耦合和信号在分数阶Fourier域呈现能量谱的高度聚集的特性,得出一种基于分数阶Fourier变换的信号检测算法,并将算法用于高斯白噪声和色噪声背景中信号检测。仿真结果表明,该算法对高斯、非高斯色噪声中的线性调频信号检测均有良好的检测性能。     

基于傅里叶变换的管道杂散电流分析及应用

杂散电流严重威胁管道的安全运行,对其进行检测、分析和排流是管道防腐的重要工作.针对这一问题,提出了基于傅里叶变换杂散电流分析方法.傅里叶变换的基本思想是将时域的信号转换到频域进行分析.管道对地电位测试数据,通过傅里叶变换分析处理之后,可以得到其中的直流分量和不同频率的交流分量.对这些分量的幅值进行分析,可以判断管道上存...