HMT与HMRF联合的SAR图像小波去斑方法

该文将隐马尔可夫树(HMT)和隐马尔可夫随机场(HMRF)两种模型相结合,提出了一种新的估计SAR图像小波系数隐状态的迭代算法.使用该算法可以充分利用小波系数尺度间和尺度内的相关性,更准确地估计隐状态.在此基础上,通过贝叶斯估计分离出小波系数中的信号成分即可消除噪声影响.实验结果表明,该算法能够有效抑制SAR图像相干斑,同时可较好地保持边缘等图像结构特征.     

一种基于广义Jaccard系数的MsGOMP红外图像去噪算法

针对红外图像去噪效果差的问题,对压缩感知理论中的信号重构问题进行分析,并提出了一种基于广义Jaccard系数的多候选集广义正交匹配追踪红外图像去噪算法。本文采用广义Jaccard系数的相似性匹配准则,计算感知矩阵和残差的最佳匹配原子,并将选择的原子作为多个候选集,迭代时分别将多个原子添加到相应的候选集中,从多个候选集中选择残差最小的一个作为最终支撑集来重建图像,对红外图像具有较好的去噪效果。仿真结果表明,此方法比传统算法收敛速度更快,峰值信噪比更高,并且还具有更好的主观去噪效果。     

基于小波树结构和迭代收缩的图像压缩感知算法研究

模型化压缩感知图像重构在标准压缩感知重构的基础上利用了小波树结构的先验知识,分别用贪婪树逼近和最优树逼近的方法求解重构优化问题。该文以模型化压缩感知重构中已有的小波树结构为基础,依据对大量自然图像小波系数关系的统计结果,提出了基于相邻系数、父系数与子系数之间统计相依关系的小波系数合理树结构,并结合小波系数合理树结构的思想,改进了普通迭代硬阈值压缩感知图像重构算法和基于最优树的模型化压缩感知图像重构算法。实验结果表明,该文算法能获得更高的图像重构质量。     

自适应小波包图像压缩感知方法

该文提出一种自适应小波包图像压缩感知方法。该方法选用小波包变换分解图像,基于数学期望和信息熵分析各个小波包系数块的属性,自适应地将其划分为低频信号、无价值信号、特殊处理信号和压缩感知处理信号等4种信号类型,再针对不同的信号类型设计对应的处理方法,适应不同特征的图像。通过此种方法,在图像压缩感知过程中,可以根据不同图像和小波包系数块自适应地选取采样值,来提高压缩感知质量。实验结果表明该文提出的自适应小波包图像压缩感知方法在相同采样值的前提下,不仅提高了图像的重构质量,同时也降低了算法的计算复杂度和所需存储空间。     

改进的多尺度压缩感知方案

传统多尺度压缩感知方案只对设定的小波变换系数采样,不用于采样的小波系数直接置零,造成重建图像边缘粗糙,影响图像重建质量。针对该问题,提出了一种改进的多尺度压缩感知方案。新方案在原方案获得的重建图像基础上,通过轮廓波变换对重建图像进行图像插值,在保持重建得到的小波系数不变的同时估计出原来被直接置零的小波系数,从而改进了图像重建质量。通过仿真实验证明了改进的多尺度压缩感知方案的有效性,并且与传统多尺度压缩感知方案相比能得到效果更好的重建图像。     

基于压缩感知的正则化子空间追踪算法

压缩感知理论是一种新的在采样的同时实现压缩的采样过程,只要被采样信号是稀疏或可压缩的,就可以保证精确重建。通过研究总结已有的贪婪追踪类重建算法,提出了一种正则化子空间追踪算法(Regularized Subspace Pursuit,RSP)。正则化正交匹配追踪算法(Regularized Orthogonal Matching Pursuit,ROMP)的正则化方法对原子的能量分级思想,对信号的重建精度和重建速度有很大影响。首先对该方法的不合理性进行改进,然后将改进的正则化步骤引入到子空间追踪算法(Subspace Pursuit,SP)中,最终达到对原始信号的快速精确重建。实验仿真表明,该算法比SP算法更高效,更具有实际应用意义。     

一种压缩采样中的稀疏度自适应子空间追踪算法

 针对压缩采样中未知稀疏度的信号,本文提出一种自适应子空间追踪算法.首先,采用了一种基于匹配测试的估计方法获取稀疏度的估计值,再通过子空间追踪重构信号.若子空间追踪不能成功重构,则通过渐近增加信号稀疏度的方法实施估计,而上述过程可描述为在弱匹配原则下新原子的选取过程.仿真结果表明,本文的算法可以准确有效重构信号,同时运算量也较低.     

基于小波域改进HMT模型的图像恢复算法

针对图像恢复中的边缘模糊问题,提出了一种基于小波域改进隐马尔可夫树( IHMT) 模型的图像恢复算法。IHMT模型更多描述了相邻尺度小波系数的互相关性,能准确刻画自然图像小波系数的统计特性。本文从图像恢复的贝叶斯框架出发,将简化的IHMT模型作为图像小波域的先验模型,构造正则化约束进行图像恢复。采用近似等价的方法,将含有混合密度的恢复方程简化为单一密度求解。实验结果表明,该算法能有效再现图像的边缘信息,提高峰值信噪比。     

采用小波变换的鲁棒隐形水印算法

本文提出了一种小波域透明图像水印算法,算法将一个二进制随机水印信号内嵌到一组按重要性选出的小波系数中,为了使透明水印具有较高的鲁棒性,内嵌过程将水印信号将为量化噪声嵌入小波零树编码的数字图像,实验获得了良好的结果。     

基于稀疏优化的图像压缩感知重建算法

在信号的稀疏表示方法中,传统的基于变换基的稀疏逼近不能自适应性地提取图像的纹理特征,而基于过完备字典的稀疏逼近算法复杂度过高.针对该问题,文章提出了一种基于小波变换稀疏字典优化的图像稀疏表示方法.该算法在图像小波变换的基础上构建图像过完备字典,利用同一场景图像的小波变换在纹理上具有内部和外部相似的属性,对过完备字典进行灰色关联度的分类,有效提高了图像表示的稀疏性.将该新算法应用于图像信号进行稀疏表示,以及基于压缩感知理论的图像采样和重建实验,结果表明新算法总体上提升了重建图像的峰值信噪比与结构相似度,并能有效缩短图像重建时间.     

Technology innovation and process integrations for sub-100nm gate patterning

This paper presents a brief overview of the Applied Centura(R)DPS(R)system,configured with silicon etch DPS Ⅱ chamber, with emphasis on discussing tuning capability for CD uniformity control. It also presents the studies of etch process chemistry and film integration impact for an overall successful gate patterning development. Discussions will focus on resolutions to key issues, such as CD uniformity, line-edge roughness, and multilayer film etching integration.     

White organic light-emitting devices based on fac tris（2- phenylpyridine） iridium sensitized 5,6,11,12-tetraphenylnap -hthacene

We have fabricated the white organic light-emitting devices （WOLEDs） based on 4,4＇ -bis（2,2 -diphenyl vinyl）-1,1＇ - biphenyl （DPVBi） and phosphorescence sensitized 5,6,11,12,-tetraphenylnaphthacene （rubrene）. The device structure is ITO/2T-NATA （20 nm）/NPBX （20 nm）/CBP： x%Ir（ppy）3：0.5% rubrene （8 nm）/NPBX （5 nm）/DPVBi （30 nm）/Alq（30 nm）/LiF（0.5 nm）/A1. In the devices, DPVBi acts as a blue light-emitting layer, the rubrene is sensitized by a phosphorescent material, fac tris （2-phenylpyridine） iridium [Ir（ppy）3], acts as a yellow light-emitting layer, and N,N＇ -bis- （1-naphthyl）- N,N＇ -diphenyl -1, 1＇ -biphenyl-4,4＇ -diamine （NPBX） acts as a hole transporting and exciton blocker layer, respectively. When the concentration of Ir （PPY）3 is 6wt%, the maximum luminance is 24960 cd/m^2 at an applied voltage of 15 V, and the maximum luminous efficiency is 5.17 cd/A at an applied voltage of 8 V.     

Complete approach to automatic identification and subpixel center location for ellipse feature

To meet the need of automatic image features extraction with high precision in visual inspection, a complete approach to automatic identification and sub-pixel center location for similar-ellipse feature is proposed. In the method, the feature area is identified automatically based on the edge attribute, and the sub-pixel center location is accomplished with the leastsquare algorithm. It shows that the method is valid, practical, and has high precision by experiment. Meanwhile this method can meet the need of instrumentation of visual inspection because of easy realization and without man-machine interaction.     

小角度扩展相关性近似算法分析

本论文提出一种在多天线MIMO信道相关性建模中小角度扩展近似理论算法,并应用于分析MIMO系统性能。分析中分别对三种不同角能量分布情况下的空间相关性研发快速近似计算法,并同时提出双模(Bi-Modal)角能量分布情况下的近似运算。通过分析这些新方法的近似效率,可以得到计算简单、复杂度低、而且符合实际的MIMO相关信道矩阵,对系统级的快速高效计算法的研究和系统级的评估以及误差分析具有重要的意义。     

A Versatile Mixed-Signal Pin Approach for Cost-Effective Test of Automotive ICs

Integrated circuits (ICs) intended for increasingly sophisticated automotive applications bring unique test demands. Advanced ICs for applications such as highly integrated automatic braking system (ABS) and airbag controllers combine high voltage digital channels, significant VI demands and precise timing capability. Along with continued missioncritical reliability concerns, the trend toward higher voltage operation and increased device integration requires specialized test capabilities able to extend across the wide operating ranges found in automotive applications. Among these capabilities, automotive test requirements increasingly dictate a need for a cost-effective versatile mixed-signal pin electronics with very high data rates reaching up to 50MHz with a voltage swing of-2 V to +28 V.     

Optical vibration and deviation measurement of rotating machine parts

It is of interest to get appropriate information about the dynamic behaviour of rotating machinery parts in service. This paper presents an approach of optical vibration and deviation measurement of such parts. Essential of this method is an image derotator combined with a high speed camera or a laser doppler vibrometer （LDV）.     

INTEGRATION OF OPTICAL AND WIRELESS NETWORKS

正For a long time,optical and wireless systems/net-works are developed in separate communities witha few attempts for in-depth convergence.In fact,it prom-ises many advantages to combine the optical and wire-less technologies in the levels of systems and networks.Recently,both academia and industry have made manyefforts to enter a new phase of development to take op-tical and wireless systems as fully integrated networks.To provide high bandwidth and reliable service for bothfixed and mobile users,a well-designed network must     

社长序言（英文）

正Happy New Year!As we step into a new year,we take a look back at the key feature topics covered in China Communications over the past 12 months and set out our expecta-     

云计算专题（英文）

正Cloud computing is a novel computing paradigm that utilizes remote cloud resources to achieve a high-performance computation.Cloud provides infrastructure,platform and software as different on-demand services.China has made remarkable progress in cloudbased products and operating system technology.The government,enterprises and research institutions are all active in the development of cloud computing-related projects.Despite the progress,many important problems     

Call for Papers—Feature Topic,Vol.12,No.3,2015

正Smart Grid Communications The electric power industry is undergoing profound changes as the industry aims to capture the promise of a smart grid for a sustainable energy future.Enabled by the advanced sensing devices such as Phasor Measurement Units(PMUs),increasingly powerful