Order statistic filter banks

Filter banks play a major role in multirate signal processing where these have been successfully used in a variety of applications. In the past, filter banks have been developed within the framework of linear filters. It is well known, however, that linear filters may have less than satisfactory performance whenever the underlying processes are non-Gaussian. We introduce the nonlinear class of order statistic (OS) filter banks that exploit the spectral characteristics of the input signal as well as its rank-ordering structure. The attained subband signals provide frequency and rank information in a localized time interval. OS filter banks can lead to significant gains over linear filter banks, particularly when the input signals contain abrupt changes and details, as is common with image and video signals. OS filter banks are formed using traditional linear filter banks as fundamental building blocks. It is shown that OS filter banks subsume linear filter banks and that the latter are obtained by simple linear transformations of the former. To illustrate the properties of OS filter banks, we develop simulations showing that the learning characteristics of the LMS algorithm, which are used to optimize the weight taps of OS filters, can be significantly improved by performing the adaptation in the OS subband domain.     

Thermal Conductivity Prediction of Thermally Conductive,Electrically Insulating Materials under van der Waals Interactions

The thermal transport phenomenon in small-scale heterogeneous composites is essentially controlled by van der Waals interactions. In this article, thermal conductivity of nanocomposites with 33 wt% crystallized silicon dioxide is four times higher than that of epoxy (EP) resin composites. Nanocomposites with 33 wt% boron carbide exhibit seven times higher thermal conductivity than pure EP. Pal and Lewis-Nielsen multiscale models were used to infer that distance-associated van der Waals interactions vary between composites with different weight fractions. Such variation consequently affects the thermal conductivity of the composites. Scanning electron microscope images of crystallized silicon dioxide/EP composites provide evidence of our reasonable and accurate inferences with regard to the thermal conduction mechanism. Experimental values confirm that the Pal model is superior to the Lewis-Nielsen model. The observed enhancement in thermal conductivity indicates important implications for the development of highly and thermally conductive electrically insulating materials. Results of this study can also be considered to improve modeling for thermal conductivity under van der Waals interactions.     

Diffused Phase Transition Boosts Thermal Stability of High‐Performance Lead‐Free Piezoelectrics

High piezoelectricity of (K,Na)NbO₃ (KNN) lead‐free materials benefits from a polymorphic phase transition (PPT) around room temperature, but its temperature sensitivity has been a bottleneck impeding their applications. It is found that good thermal stability can be achieved in CaZrO₃‐modified KNN lead‐free piezoceramics, in which the normalized strain d ₃₃* almost keeps constant from room temperature up to 140 °C. In situ synchrotron X‐ray diffraction experiments combined with permitivity measurements disclose the occurrence of a new phase transformation under an electrical field, which extends the transition range between tetragonal and orthorhombic phases. It is revealed that such an electrically enhanced diffused PPT contributed to the boosted thermal stability of KNN‐based lead‐free piezoceramics with high piezoelectricity. The present approach based on phase engineering should also be effective in endowing other lead‐free piezoelectrics with high piezoelectricity and good temperature stability.     

开环双波段人眼视网膜成像液晶自适应光学系统设计

设计了一套基于开环双波段模式的人眼视网膜成像液晶自适应光学系统。该光学系统分别采用夏克-哈特曼波前传感器和液晶空间光调制器来探测和校正波前畸变。探测波段采用830nm近红外光,成像波段采用790nm近红外光。采用开环模式以提高光能利用率和系统的稳定性,采用双波段模式以增大视场。新加入了瞳孔监控子系统和响应矩阵测量子系统,使系统更加灵活方便。介绍了系统的关键参数,并通过ZEMAX软件对光学系统进行模拟分析,认为系统可以达到接近衍射极限的效果。传递函数MTF@50lp/mm达到0.25(对应视网膜上3μm),满足设计要求。     

一种基于TLM超混沌细胞神经网络图像加密新算法

混沌对初值敏感的特性使得它适合于数据加密。以4 阶CNN 模型为基础,提出了一种新的超混沌细胞神经网络图像加密算法。算法分为置乱和扩散二个阶段,复合混沌映射用于生成置乱阶段控制参数,用以置乱图像行列之间的高度互相关像素。在扩散阶段,使用不同初始状态和参数的复合混沌映射生成高阶混沌细胞神经网络的初始条件,以生成扩散阶段的密钥流。算法的已知明文和选择明文攻击、密钥空间和直方图的仿真实验均取得了良好的结果。与其他相关算法相比,该算法具有密钥敏感性和抗攻击性强的优点,适用于图像加密。     

大功率激光器阵列光场分布测试方法的研究

针对大功率半导体激光器阵列难以进行光场分布测试评价的问题,设计了大功率激光器光场分布测试系统。从测试系统探测器的抗损伤阈值方面,分析了对激光衰减的比例要求,提出了几种衰减的方法,设计了低透射系数高抗激光损伤的衰减方案,并进行逐一的测试比较,得到了理想的衰减效果。结合测试系统要求,完成了大功率半导体激光器光场分布的测试与评价。     

关于纠删码的研究与进展

该文简述了几类纠删码的纠删原理,系统地综合分析了各类纠删码的优缺点及其相互区别与联系,证明了若选取MDS(Maximal Distance Separable)码作为纠删码,只要接收者接收到源数据个数的数据,就能恢复原来的源数据。分析结果表明:复损码以及旋风(Tornado)码不仅能以线性时间可编码和可成功地译码,而且能以任意接近删除信道容量的速率进行传输,最后指出了目前复损码的研究中需要解决的一些问题,这些分析和结论为进一步研究纠删码提供了理论基础和新的思路。     

小波分析在图像融合中的应用

图像融合的目的是把同一目标的多幅图像融合成一幅质量高的图像。本文给出了一种基于小波变换的图像融合方法，首先对两幅图像使用正交小波进行分解，得到两幅图像的小波分解系数，根据小波系数的特点，对两幅图像的小波系数进行比较，取绝对值大的小波系数构成融合的小波系数矩阵。对融合小波系数矩阵进行小波反变换，得到两幅图像的融合图像。最后使用该方法对两幅图像进行了融合，得到的融合图像汲取了两幅图像的优势，是一幅质量高的图像。     

IP over WDM技术

文章介绍了IPoverWDM技术及其发展进程,论述了IPoverWDM技术的研究热点,包括IPoverWDM的网络控制技术、多协议标记交换在光网络中的应用以及自动交换光网络(ASON)等方面的内容.     

籽晶粘接工艺对SiC单晶生长质量的影响

空洞等缺陷是SiC晶体生长中常见的缺陷之一。通过改进SiC籽晶粘接工艺,在SiC籽晶和籽晶托之间形成致密层,有效抑制了空洞缺陷的产生,改善了SiC晶体的结晶质量。采用该工艺生长的SiC晶体内已观察不到空洞缺陷,微管密度也得到抑制,晶体半峰宽40″,结晶质量良好。