小型Ka频段锁相倍频源

介绍了小型毫米波跳频频率合成器的研究方法。为了满足系统小型化要求,采用微波频段锁定后倍频到毫米波频段的锁相倍频方案,选用超小型、无任何补偿措施的普通10 MHz晶振。整个毫米波锁相源在150 cm3体积内实现。测试结果为:输出频率29～31 GHz,步进 20 MHz,相噪优于-65 dBc/Hz@10 kHz,输出功率大于10 dBm,可用于8 mm接收机作本振或发射机基准源使用。     

时变三因子模型风险系数的动态研究

由Fama和French提出的三因子模型能够较好地解释股票的收益率风险溢价。文章以状态空间模型为框架,将风险因子系数作为状态变量,市场风险溢价作为观测变量,构建时变三因子模型来应对股票市场价格的时变特征。研究结果显示,利用卡尔曼滤波来估计时变风险因子系数,增强了估计结果的准确性与连贯性;风险因子系数变化规律与中国A股市场政策和环境影响相吻合,消除非理性噪声后的时变三因子模型更具有解释力度。     

Suppressing marginal totals from a two-dimensional table to protect sensitive information

The technique of data suppression for protecting sensitive information in a two-dimensional table from exact disclosure raises the computational problems of testing a given table of censored data for security, and searching for a secure suppression pattern of minimum size for a given table. We provide a polynomial security test to solve the former problem, and prove that the latter problem is intractable in the general case, but can be solved in linear time in the special case in which only sensitive cells are to be protected.     

基于二次分解策略和模糊时间序列模型的航空客运需求预测研究

提高航空客运需求预测的准确性对于航空公司以及整个航空运输系统的发展都具有重要的现实意义。以往研究普遍采用单一分解策略去处理航空客运需求时序中存在的复杂特征,以此提升组合模型的预测性能。然而传统的分解策略存在着特征提取不完全、分解方法带有固有缺陷等问题,导致组合模型预测效果不能得到充分的提升。为此,本文提出一种基于二次分解策略和模糊时间序列模型的航空客运需求预测方法。该方法首先利用季节调整模型（X12-ARIMA）将原始时序分解成季节成分序列与季节调整后序列,继而利用改进的自适应噪声集成经验模态分解方法（ICEEMDAN）将季节调整后序列分解成一系列不同时间尺度的本征模态函数（IMF）和残差序列（Residue）。然后使用基于模糊C均值算法（FCM）划分论域区间的FTS模型对季节成分序列、各IMF分量以及残差序列分别进行预测。最后将各分量序列的预测结果进行集成,重构出航空客运需求的预测值。实证结果表明,本文所提出的二次分解策略表现显著优于传统的分解策略,并且本文所提出模型对于航空客运需求预测有着较高的准确性。     

福佬人论略(上)

在我国汉族南方诸族群中的“福佬人”，其“福佬”的名称系由历史上的“福建夷獠”转化而来。六朝永嘉之乱、侯景丧乱，使大批中原难民辗转流入福建和广东东北部地区，开了蛮汉交流的先河；唐初闽南粤东地区发生的“陈元光平蛮”，促进了福佬先民的酝酿；隋唐时期泉州“市井十洲人”的出现，及由泉州土著与中原江淮移民两种语言融汇而成的泉州方言的基本形成，则意识着福佬族群已基本孕育成熟。     

On cusp location estimation for perturbed dynamical systems

We consider the problem of parameter estimation in the case of observation of the trajectory of the diffusion process. We suppose that the drift coefficient has a singularity of cusp type and that the unknown parameter corresponds to the position of the point of the cusp. The asymptotic properties of the maximum likelihood estimator and Bayesian estimators are described in the asymptotic of small noise, that is, as the diffusion coefficient tends to zero. The consistency, limit distributions, and the convergence of moments of these estimators are established.     

A density function connected with a non-negative self-decomposable random variable

The innovation random variable for a non-negative self-decomposable random variable can have a compound Poisson distribution. In this case, we provide the density function for the compounded variable. When it does not have a compound Poisson representation, there is a straightforward and easily available compound Poisson approximation for which the density function of the compounded variable is also available. These results can be used in the simulation of Ornstein–Uhlenbeck type processes with given marginal distributions. Previously, simulation of such processes used the inverse of the corresponding tail Lévy measure. We show this approach corresponds to the use of an inverse cdf method of a certain distribution. With knowledge of this distribution and hence density function, the sampling procedure is open to direct sampling methods.     

微弱荧光信号检测放大器的低噪声设计

本文对采用光电二极管的荧光信号接收电路的工作模式和噪声进行了分析。并论述了输入失调和暗电流的补偿方法,深入讨论了反馈电阻RF及补偿电容CF的防泄漏措施、输入管脚的“护卫(guarding)”与隔离技术、输入管脚的悬置引出技术、PCB板的清洁和隔离涂敷、屏蔽和滤波等技术。使所设计的接收电路获得较高的信噪比(SNR)。     

光热反射实验中微弱信号的测量

介绍了用激光光热反射方法测量表面下物体热物性的实验原理.分析了实验中噪声的主要来源,运用带通滤光片结合差分探测的方式降低激光器产生的噪声.锁相放大技术对被测信号进行窄带放大,锁相放大器结合示波器输出了被测信号的周期变化部分,实现了光热法测量中微弱信号的测量.     

Object detection in multi-epoch data

In astronomy multiple images are frequently obtained at the same position of the sky for follow-up coaddition as it helps one go deeper and look for fainter objects. With large scale panchromatic synoptic surveys becoming more common, image co-addition has become even more necessary as new observations start to get compared with coadded fiducial sky in real time. The standard coaddition techniques have included straight averages, variance weighted averages, medians etc. A more sophisticated nonlinear response chi-square method is also used when it is known that the data are background noise limited and the point spread function is homogenized in all channels. A more robust object detection technique capable of detecting faint sources, even those not seen at all epochs which will normally be smoothed out in traditional methods, is described. The analysis at each pixel level is based on a formula similar to Mahalanobis distance.