The Hilbert Kernel Regression Estimate

Let (X, Y) be an ^d× -valued regression pair, whereXhas a density andYis bounded. Ifni.i.d. samples are drawn from this distribution, the Nadaraya–Watson kernel regression estimate in ^dwith Hilbert kernelK(x)=1/x^dis shown to converge weakly for all such regression pairs. We also show that strong convergence cannot be obtained. This is particularly interesting as this regression estimate does not have a smoothing parameter.     

自适应光学对大气扰动波前的补偿效果研究：I.理论推导

在采用冻结湍流假设和几何光学近似的条件下，得到了经自适应光学系统校正后的剩余波前相位扰动的结构函数，进而根据剩余相位结构函数与系统Ｓｔｒｅｈｌ比的关系，求出自适应光学系统的补偿效果受系统的时空传递函数，大气湍流，光波传播路径上的横向风，观察目标的旋转角速度以及系统时间延迟影响情况的解析表达式。     

Generation, measurement and optimization of a variable duration, short pulse, mode-locked cavity-dumped Nd:YAG laser

Spectral and temporal measurements undertaken on a single picosecond laser pulse from a flash lamp pumped, cavity dumped, active/passive mode-locked Nd:YAG laser are presented in this paper. Optimization of several parameters of the resonator cavity produced a single pulse with 0.7 mJ energy and 10² contrast. The pulse duration was variable from 24 to 120 ps by using intra-cavity etalons of different thicknesses. The pulse width and spectrum of the pulse were simultaneously measured using a second harmonic autocorrelator and a spectrometer. The time bandwidth product was 0.445, which is close to theoretical limit for a bandwidth limited pulse.     

光电检测系统的带宽选择

本文分析光电检测系统的带宽与系统响应时间及信噪比之间的关系。提出在方案设计时根据所要求的响应时间和最佳信噪比初步确定带宽的方法。     

BANDWIDTH SELECTION IN NONPARAMETRIC SPECTRAL DENSITY ESTIMATION OF THE STATIONARY GAUSSIAN PROCESS

ＢＡＮＤＷＩＤＴＨＳＥＬＥＣＴＩＯＮＩＮＮＯＮＰＡＲＡＭＥＴＲＩＣＳＰＥＣＴＲＡＬＤＥＮＳＩＴＹＥＳＴＩＭＡＴＩＯＮＯＦＴＨＥＳＴＡＴＩＯＮＡＲＹＧＡＵＳＳＩＡＮＰＲＯＣＥＳＳ￥ＹＵＤＡＮ（于丹）（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，...     

掺铒光纤环形激光器混沌带宽特性数值研究

利用掺铒光纤环形激光器非线性克尔效应模型,研究抽运功率和非线性系数对激光器输出混沌信号带宽的影响.研究表明：在非线性系数一定的情况下,混沌带宽随着抽运功率的增加先增大后减小;固定抽运功率为01 W,当非线性系数增加到45 W^-1km^-1时,掺铒光纤激光器输出的混沌带宽达到最大值（153 GHz）,非线性系数继续增加,输出混沌的带宽将逐渐减小. 关键词： 克尔效应 掺铒光纤激光器 混沌 带宽     

基于局部多项式展开的多元非参数模型贝叶斯带宽选择

在多元非参数模型中带宽和阶的选择对局部多项式估计量的表现十分重要。本文基于交叉验证准则提出一个自适应贝叶斯带宽选择方法。在给定的误差密度函数下,该方法可推导出对应的似然函数,并构造带宽参数的后验密度函数。随后,通过带宽的后验期望可同时获得阶和带宽的估计。数值模拟的结果表明,该方法不仅比大拇指准则方法精确,且比交叉验证方法耗时更少。与此同时,与Nadaraya-Watson估计相比,所提带宽选择方法对多元非参数模型的适应性要更好。最后,本文通过一组实际数据说明有限样本下所提贝叶斯带宽选择的表现很好。     

啁啾参数对光束远场分布的影响

啁啾脉冲光束的远场特性对其具体应用具有重要意义。利用夫琅禾费衍射积分公式导出了啁啾脉冲高斯光束远场光强分布的解析式,并通过数值计算分析了啁啾参数对远场分布的影响。结果表明,脉冲光束的远场中心光强随着脉宽的减小而增大,其远场轴上功率谱随着脉宽的增大而减小,与普通脉冲高斯光束相比,脉宽的变化对于啁啾脉冲光束的影响更大。脉冲光束的中心光强也随着谱宽的增大而增大,但啁啾参数的变化不会对其产生影响。     

Consortium GARR and the European National Research and Education Networks Optical Infrastructure Developments

Abstract

GARR is engineering its next generation of the Italian Research and Education Network (GARR-X), which will exploit a countrywide optical infrastructure based on DWDM equipment and advanced multi-domain services. The trend is common in all National Research and Education Networks [1 TERENA NREN Compendium. http://www.terena.org/activities/compendium ISSN 1569-4496 [Google Scholar]] in Europe and worldwide. NRENs are relying more and more on direct use of optical equipment to fulfill the researchers' requirements. These hybrid networks are built to provide services on a multi-domain environment both at the circuit and at the IP layer for researchers in, for example, radio astronomy (eVLBI [2 European Very Long Baseline Interferometry http://www.evlbi.org [Google Scholar]]), GRID computing (EGEE [3 Enabling Grids for E-sciencE http://public.eu-egee.org [Google Scholar]], LHC [4 The Large Hadron Collider http://lhc.web.cern.ch/lhc [Google Scholar]]), high-performance computing (DEISA [5 The Distributed European Infrastructure for Supercomputing Applications http://www.deisa.org [Google Scholar]]). This article outlines the status and issues of ongoing research activities in GARR [6 http://www.garr.it/garr-b-home-engl.shtmlConsortium GARR, the Italian NREN [Google Scholar]] and NRENs to provide, manage, and evolve dedicated optical-based networks for providing multi-domain end-to-end services. The research is performed mainly in the framework of the European Commission co-funded project GÉANT2 [7 The pan-European R&E network http://www.geant2.net [Google Scholar]].