一种新型的GSM接收机的设计与实现

依据GSM协议,结合GSM数字移动通信系统信号传输的特点,给出了基于GSM系统的带软输出结构的MLSE接收机的设计方案,阐述了MLSE接收机的实现算法。实际环境的试验结果表明:工程实现的MLSE接收机具有良好的工作性能和一定的实际应用价值。     

Kernel Estimation of Rate Function for Recurrent Event Data

Abstract.  Recurrent event data are largely characterized by the rate function but smoothing techniques for estimating the rate function have never been rigorously developed or studied in statistical literature. This paper considers the moment and least squares methods for estimating the rate function from recurrent event data. With an independent censoring assumption on the recurrent event process, we study statistical properties of the proposed estimators and propose bootstrap procedures for the bandwidth selection and for the approximation of confidence intervals in the estimation of the occurrence rate function. It is identified that the moment method without resmoothing via a smaller bandwidth will produce a curve with nicks occurring at the censoring times, whereas there is no such problem with the least squares method. Furthermore, the asymptotic variance of the least squares estimator is shown to be smaller under regularity conditions. However, in the implementation of the bootstrap procedures, the moment method is computationally more efficient than the least squares method because the former approach uses condensed bootstrap data. The performance of the proposed procedures is studied through Monte Carlo simulations and an epidemiological example on intravenous drug users.     

小波分析在管理数据处理中的应用

提出了一种基于小波变换的管理数据处理方法，把公司管理上的数据看成一个非平稳的时间序列，利用小渡函数将该时间序列分解到不同的频率通道上，然后将分解后的信号当作近似的平稳时间序列，用一些传统的统计方法进行预测，同时对中国足球彩票若干期的销售量数据进行了处理和预测，并将结果与实际销量以及用传统的AR模型的预测值进行了比较。     

关于第二类级联构造Bent序列的讨论(英文)

考虑用 4个长为 2 n - 2 的Bent序列或线性序列级联构造Bent序列的问题 ,给出了第二类线性基Bent序列的类型以及级联序列为第二类Bent基Bent序列的一个充分条件 .     

英语中继语句法顺序探讨

中继语这一理论虽已广为语言学界所接受,并有学者对其动态规律进行了调查与研究,但到目前为止,目的十分明确的研究还只是刚起步。为了给汉语背景下第二语言习得理论和目前正在蓬勃展开的外语教学大纲、教材教法的革新提供依据,本文收集了大一、大二、硕士研究生三个自然班的英语作文,依据EA理论与IT理论对其进行了探索性的描述性研究,旨在从结构上揭示出大学生习得英语的顺序。     

关于丢番图逼近中的一个猜想(I)

证明了Cusich提出的猜想 (I) .对于任给的n个正整数a1,a2 ,… ,an 总存在一个实数x ,使得‖aix‖ 1n+ 1,i=1,2 ,…n成立 .其中‖x‖表示x到其最近整数的距离     

Optimal sampling for repeated binary measurements

The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling cost, a term related to prediction, and if relevant, a term related to learning about a treatment effect To this end, they use a nonparametric probability model relying on a minimal number of assumptions. They show how their assumption of partial exchangeability for the binary sequence of data allows the sampling distribution to be written as a mixture of homogeneous Markov chains of order k. The implementation follows the approach of Quintana & Müller (2004), which uses a Dirichlet process prior for the mixture.     

二元序列优化的二种快速算法

基于二相编码雷达对大压缩比信号的要求,提出了一种比直接算法平均提高效率0.5P(P 为序列长度)的快速数字优化方法。作为这种快速算法的实际应用,还对 P=255的二相编码脉冲压缩信号进行了优化。     

利用光敏核不育性进行水稻轮回选择的程序探讨

本文对利用光敏核不育性进行水稻轮回选择进行了探讨。提出基本轮回选择方案和综合轮回选择方案。基本轮回选择方案是以一个光敏核不育材料为母本与多个亲本组配构成轮回选择的综合群体,而其后按常规轮回选择法进行育种的方案。综合轮回选择方案是以两个或两个以上的光敏核不育材料作为母体与多个亲本组配,在 F_2代群体中不同质源的优良植株相互交配构成综合群体,其后按基本方案进行的轮回选择。     

Postdisaster Housing Stages: A Markov Chain Approach to Model Sequences and Duration Based on Social Vulnerability

Housing recovery is an unequal and complex process presumed to occur in four stages: emergency shelter, temporary shelter, temporary housing, and permanent housing. This work questions the four-stage typology and examines how different types of shelter align with multiple housing recovery stages given different levels of social vulnerability. This article also presents a Markov chain model of the postdisaster housing recovery process that focuses on the experience of the household. The model predicts the sequence and timing of a household going through housing recovery, capturing households that end in either permanent housing or a fifth possible stage of failure. The probability of a household transitioning through the stages is computed using a transition probability matrix (TPM). The TPM is assembled using proposed transition probability models that vary with the social vulnerability of the household. Monte Carlo techniques are applied to demonstrate the range of sequences and timing that households experience going through the housing recovery process. A set of computational rules are established for sending a household to the fifth stage, representing a household languishing in unstable housing. This predictive model is exemplified on a virtual community, Centerville, where following a severe earthquake scenario, differences in housing recovery times exceed four years. The Centerville analysis results in nearly 5% of households languishing in unstable housing, thereby failing to reach housing recovery. These findings highlight the disparate trajectories experienced by households with different levels of social vulnerability. Recommendations are provided at the end for more equitable postdisaster recovery policies.