基于改进PSO算法的自适应均衡算法

传统的自适应均衡算法存在收敛速度慢,稳定性差、均衡效果不理想等缺点,从而使自适应均衡器在高速光纤通信系统中的应用受到限制.具有梯度搜索因子的Grads-PSO算法,结合了传统数值优化方法在计算速度和计算精度上的优势,将梯度法引入粒子群算法中.在梯度搜索因子的指导下,PSO算法的运算过程显得更加有规则,从而提高了算法的收敛速度和运算精度.因此,本文提出将改进PSO算法用作自适应均衡器均衡算法.通过仿真实验表明,改进PSO算法具有收敛速度快,计算精度高的优点,将其作为自适应均衡器的控制算法可收到很好的均衡效果,优于传统的控制算法.     

一种适应光照多变的夜间前景提取方法

夜间前景提取是智能监控的必要处理过程,也是新时代下店铺防盗的高效手段。提出了一种在强弱光多变下具有检测鲁棒性的动态目标自动提取算法。在亮度通道上利用直方图均衡技术根据设置参数自适应灰度增幅,结合Canny边缘图像进行差分处理,最后给出前景提取算法。实验结果表明:在强弱光不同光照环境下,该方法可以很好的削弱不同光照对前景提取带来的多噪声、过度曝光等影响,提高前景对比度,相比其他方法,显示效果清晰完整,并满足实时性要求。     

安徽"美丽乡镇"建设中的基本公共服务均等化研究

2016年安徽在全省推进美丽乡镇建设,乡镇基本公共服务均等化是推进工作中的一个短板,为搞清安徽乡镇现有基本公共服务均等化供给情况,找出短板,本课题着重分析了安徽乡镇基本公共服务均等化面临的六大主要挑战,并提出了加快安徽乡镇基本公共服务均等化的对策。     

Turbo spin-echo sequences in magnetic resonance imaging of the brain: Physics and applications

Fast SE imaging provides considerable measure time reduction, high signal-to-noise ratios as well as similar contrast behavior compared to conventional SE sequences. Besides TR and TE_eff, echo train length (ETL), interecho time , and-space trajectory determine image contrast and image quality in fast SE sequences. True proton density contrast (CSF hypointense) and not too strong T2 contrast are essential requirements in routine brain MRI. A Turbo SE sequence with very short echo train length (ETL=3), short TE_eff and short interecho time (17 ms), and TR=2000 ms was selected for proton density contrast; a Turbo SE sequence with ETL=7, TE_eff=90 ms, =22 ms, and TR=3250 ms was selected for T₂-weighted images. Using both single-echo Turbo SE sequences yielded 50% measure time reduction compared to the conventional SE technique. Conventional SE and optimized Turbo SE sequences were compared in 150 patients resulting in very similar signal and contrast behavior. Furthermore, reduced flow artifacts in proton density—and especially in T₂-weighted Turbo SE images—and better contrast of high-intensity lesions in proton density-weighted Turbo SE images were found. Slightly reduced edge sharpness—mainly in T₂-weighted Turbo SE images—did not reduce diagnostic reliability. Differences between conventional and Turbo SE images concerning image contrast and quality are explained regarding special features of fast SE technique.Address for correspondence: Institut für Röntgendiagnostik, Klinikum der Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93042 Regensburg, Germany. Additional reprints of this chapter may be obtained from the Reprints Department, Chapman & Hall, One Venn Plaza, New York, NY 10119.     

Image contrast enhancement using fuzzy clustering with adaptive cluster parameter and sub-histogram equalization

Histogram equalization is an effective technique to boost image quality and contrast enhancement. However, in some cases the increase in image contrast by traditional histogram equalization exceeds the desired amount Which damages the image properties and wanes its natural look. Histogram division and performing a separate equalization for each sub-histogram is one of the presented solutions. The dividing method and determining the number of sub-histograms are the main problems directly affecting the output image quality. In this study, a method is introduced for automatic determination of the number of sub-histograms and density based histogram division leading to appropriate output with no need for parameter setting. Each main peak is in a separate section. Image contrast is increased with no loss of image specifications through determining the number of sub-histograms based on the number of main peaks. The introduced histogram equalization approach consists of three stages. The first stage, using histogram analysis, produces an automated estimate of number of clusters for image brightness levels. The second, clusters the image brightness levels, and using the provided transfer function, the final stage includes contrast enhancement for each individual cluster separately. The results of the proposed approach demonstrate not only clearer details along with a boost in contrast, but also noticeably more natural appearance in the images.     

万家寨水电站经济运行的措施

针对黄河近几年来水量逐年减少和电力市场的变化 ,对提高万家寨电站的经济运行效益问题 ,进行了分析     

汽轮发电机转子匝间短路故障的有限元分析

以300 MW汽轮发电机为例,在建立其二维有限元数值模型基础上,对瞬变电磁场有限元分析过程进行了分析与推导。同时阐述了汽轮发电机在不同工况下磁场分布情况,以及转子绕组发生不同匝间短路故障时通过探测线圈波形进行计算与分析。     

基于Kalman滤波的水声混合双向迭代信道均衡算法

水声信道均衡中基于信道估计的均衡方法理论上具有更优的均衡性能,但较高的计算复杂度限制了算法的实际应用。针对这一问题,该文首先基于Kalman滤波和Turbo均衡提出一种迭代Kalman均衡器,实现了基于软符号的迭代信道估计与迭代Kalman均衡,且复杂度较常规方法降低约1个数量级。其次,针对单一均衡算法和单一方向Turbo均衡器存在的误差传递现象,设计了基于迭代Kalman均衡器与改进成比例归一化LMS (IPNLMS)自适应均衡器相结合的混合双向Turbo均衡器,提高了自适应均衡器的收敛速度和均衡性能,并通过双向均衡结构带来的增益改善了符号估计误差传递的现象。理论分析与仿真实验验证了该文算法的有效性。     

基于进化思想的盲均衡新算法研究

进化思想是目前模拟进化过程的三种主要研究途径之一，它主要强调个体的行为变化、强调父代和子代之间或繁殖群体之间的行为联系。盲均衡是一种在信道畸变相当严重的条件下，不用借助于训练序列，仅根据接收到的信号序列本身进行自适应均衡的方法；本文运用进化思想和传统Godard均衡器代价函数，提出一种基于进化思想的盲均衡新算法，计算机模拟结果表明：该算法比已有的盲均衡算法收敛速度快，且不会误收敛至局部最小值。     

16×10.7 Gb/s 1 600 km普通单模光纤环路传输研究

利用双折射光纤环设计了可调功率均衡滤波器,实现了16路16×10.7 Gb/s NRZ码、超过1 600 km常规单模光纤(SMF)的系统传输及性能测试,信道误码率均小于3×10-5(FEC纠错前).数值仿真并实验研究了对单环长度240 km、损耗超过80 dB的环路16路10.7 Gb/s波分复用(WDM)系统传输的优化.传输7圈后,功率均衡器降低了信道功率不平坦度超过5 dBm.