Uplink Low Power Based Radio Resource Management in Wireless Heterogeneous Networks

Wireless Personal Communications - Due to the rapid rise of energy consumption and limited battery power of wireless user equipment (UE), low power communication becomes very important....     

一种基于高阶统计量的组合盲均衡新算法

基于高阶统计量的逆滤波器准则（IFC）和超指数迭代算法（SEA）已经被广泛地应用于解决盲均衡问题。Chi，Feng和Chen通过对两种算法的性能分析提出在特定的条件下SEA和IFC算法的得到的均衡器是等价的。基于这种等价性，文献中提出通过对这两种算法进行组合来提高算法性能的改进方案。采用这种改进的改进方案，将一种最新的改进的SEA算烈和IFC算法进行组合，提出一种收敛性又好，收敛速度又快的组合算法。     

无缝钢管激光视觉准直技术

应用多个激光线结构光传感器对无缝钢管进行光切,求出各个光切面中心点的空间三维坐标,由此确定钢管轴线的直线度。本文提出了无缝钢管直线度激光视觉测量方法,推导了数学模型,进行了实验研究,给出了实验结果。     

脑胶质瘤的血瘤屏障超微结构观察

目的：探讨脑部胶质瘤中血瘤屏障的超微结构改变与胶质瘤细胞生物学特性之间的关系。方法：应用电镜观察13例胶质瘤患者瘤组织中血瘤屏障的超微结构改变。结果：脑胶质瘤组织中的血瘤屏障发生的一系列改造和重建：1、多数血瘤屏障中毛细血管基膜呈限局性或广泛性增厚,基板多层化,胶原纤维增生;2、多数毛细血管基膜的胶质膜侧常见大小不等,多少不一的虫蚀状空洞或血管外间隙扩大;3、毛细血管胶质膜则脚板外侧基板常不完整;4、内此细胞间紧密连接延长,偶见内皮细胞出现窗孔,内此细胞增生出芽。结论：脑胶质瘤组织中的血瘤屏障发生的一系列改造和重建的超微结构改变,可能是导致脑部胶质瘤低转移率和高侵袭性的形态学依据。     

Real-time processing algorithms for target detection andclassification in hyperspectral imagery

The authors present a linearly constrained minimum variance (TCMV) beamforming approach to real time processing algorithms for target detection and classification in hyperspectral imagery. The only required knowledge for these LCMV-based algorithms is targets of interest. The idea is to design a finite impulse response (FIR) filter to pass through these targets using a set of linear constraints while also minimizing the variance resulting from unknown signal sources. Two particular LCMV-based target detectors, the constrained energy minimization (CEM) and the target-constrained interference-minimization filter (TCIMF), are presented. In order to expand the ability of the LCMV-based target detectors to classification, the LCMV approach is further generalized so that the targets can be detected and classified simultaneously. By taking advantage of the LCMV-based filter structure, the LCMV-based target detectors and classifiers can be implemented by a QR-decomposition and be processed line-by-line in real time. The experiments using HYDICE and AVIRIS data are conducted to demonstrate their real time implementation     

Dual-metal gate CMOS technology with ultrathin silicon nitride gatedielectric

We report the first demonstration of a dual-metal gate complementary metal oxide semiconductor (CMOS) technology using titanium (Ti) and molybdenum (Mo) as the gate electrodes for the N-metal oxide semiconductor field effect transistors (N-MOSFETs) and P-metal oxide semiconductor field effect transistors (P-MOSFETs), respectively. The gate dielectric stack consists of a silicon oxy-nitride interfacial layer and a silicon nitride (Si₃N₄) dielectric layer formed by a rapid-thermal chemical vapor deposition (RTCVD) process. C-V characteristics show negligible gate depletion. Carrier mobilities comparable to that predicted by the universal mobility model for silicon dioxide (SiO₂) are observed     

Oscillator-Based Reconfigurable Sinusoidal Signal Generator for ADC BIST

In order to perform an on-chip test for characterizing both static and transmission parameters of embedded analog-to-digital converters (ADCs), this paper presents an oscillator-based reconfigurable sinusoidal signal generator which can produce both high and low frequency sinusoidal signals by switching the oscillator into different modes. Analog and digital signals can additionally be produced concurrently in both modes to provide not only test stimuli, but also reference responses for the ADC built-in self-test. The generated oscillation signal amplitude and frequency can be easily and precisely controlled by simply setting the oscillator clock frequency and initial condition coefficients. Except for a 1-bit digital-to-analog converter and smoothing filter, this proposed generator is constructed entirely by digital circuits, and hence easily integrates this silicon function and verifies itself before testing the ADCs.

基于标签的矩阵型Gr?bner基算法研究

目前基于标签的Gr?bner基算法大多是Buchberger型的,涉及矩阵型算法的文献往往是为了进行复杂度分析,而不考虑实际的效率。该文从实际应用出发,给出矩阵型Gao-Vol ny-Wan g(GVW)算法的一个实例,提出算法层次的优化设计方法。同时,该文还给出一个高效的约化准则。通过实验,该文比较了算法可用的各项准则及策略。实验结果表明,该文的矩阵型GVW实例在准则和策略的选取上是最优的。并且,矩阵型GVW在某些多项式系统(例如,Cyclic系列和Katsura系列多项式系统)下比Buchberger型GVW要快2~6倍。     

石墨锥型高能激光全吸收能量计设计

在高能激光能量计吸收体上很长时间内均存在较大的温度梯度,这导致吸收体真实温度的测量非常困难,材料的比热、传感器的响应度和吸收体的热损失对测量准确度的影响较显著,模拟了吸收体上温度场特性,提出了一种利用多个分立的热电偶传感器测量吸收体的温升的方法,通过对热电偶的间距以及在吸收体中的深度加以控制,可以准确地反映吸收体上每一小部分的平均温度,从而达到对比热和传感器响应度修正的目的;采取措施大幅降低热损失比例,并结合实际温度场分布和系统热平衡时间对热损失可以获得热损失占比;利用光线追迹方法可以大幅简化吸收体吸收率研究,以实际光束和吸收腔参数为模拟对象计算了吸收腔的吸收率,并对测量结果进行修正。在分析了系统各个环节的测量不确定度的基础上估算出设计的激光能量计的测量不确定度约为5.8%(k=2),采用现场比对方法验证该测量不确定度的合理性。