TDD-CDMA 系统中基于业务统计的联合功率控制算法

An important feature of the traffic in mobile networks is burstiness. Drawbacks of conventional power control algorithms for time division duplex （TDD）-code division multiple access （CDMA） systems are analyzed. A joint power control algorithm based on service factor is presented to address the TDD-CDMA mobile services in the burst mode according to the Markov modulated Bernoulli process. The joint power control equation is derived. A function model is developed to verify the new algorithm and evaluate its performance. Simulation results show that the new power control algorithm can estimate interference strength more precisely, speed up convergence of power control, and enhance power efficiency and system capacity. It is shown that the proposed algorithm is more robust against link gain changes, and outperforms the reference algorithms.     

Markov链在生命科学中的应用

通过Markov链理论,为生命科学中物种的灭绝及种群繁殖过程中的分支过程及两性G-W分支过程建立数学模型,并辅以实例加以定性分析和研究.     

四维欧氏空间中曲面的拉格朗日高斯映射（英文）

M是浸入在4维欧氏空间中的一个闭的定向曲面,研究了从M到格拉斯曼流形G4 ,2的广义高斯映射gν的几何.     

服务台由N个部件串联的M/G/1(E,MV)可修排队系统的平稳分布

文章考虑到服务台是由N个不同型部件串联组成的M/G/1(E,MV)可修排队系统,其中服务台工作当且仅当N个部件都工作.假定每个部件的寿命服从指数分布,故障部件的修理时间服从一般分布.通过引入顾客的“广义服务时间”和队长过程的嵌入Markov链,得到了嵌入Markov链的平稳分布的递推表达式以及平均队长.     

Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies

When time-intensive longitudinal data are used to study daily-life dynamics of psychological constructs (e.g., well-being) within persons over time (e.g., by means of experience sampling methodology), the measurement model (MM)—indicating which constructs are measured by which items—can be affected by time- or situation-specific artifacts (e.g., response styles and altered item interpretation). If not captured, these changes might lead to invalid inferences about the constructs. Existing methodology can only test for a priori hypotheses on MM changes, which are often absent or incomplete. Therefore, we present the exploratory method “latent Markov factor analysis” (LMFA), wherein a latent Markov chain captures MM changes by clustering observations per subject into a few states. Specifically, each state gathers validly comparable observations, and state-specific factor analyses reveal what the MMs look like. LMFA performs well in recovering parameters under a wide range of simulated conditions, and its empirical value is illustrated with an example.     

对测定薄透镜焦距误差的探讨

讨论了在非理想状态下，即薄透镜仅存在光心误差的情况下，对高斯法和共轭法测焦距f进行推导，指出高斯法和共轭法产生的误差是一样大的，并推导出产生△f最小的条件．     

HMM在说话人识别系统中的实现

介绍了隐马尔可夫模型及其主要解决的3个基本问题,以及在说话人识别系统中实现的基本过程,并对256和512码本、文本相关与文本无关进行比对,得出文本相关的识别率更高的结论并分析了其原因。     

围绕一个著名问题的思考

论文围绕高斯提出的算法,进一步讨论和归纳得到:对称式、等距式和模块式,运用这三种方式,更能直观、容易地解决实际问题。文章例举了两个例题加以说明,并进行迁移运用。高斯在创建正态分布(高斯分布)数学模型中,也同样运用了上述思想,论文一一分析并讨论之。     

Lorentz空间型中具有平行Ricci曲率的类空超曲面

设Mn是Lorentz空间型Nn+1(c)中具平行Ricci曲率的类空超曲面(n 3),本文给出了这类超曲面的分类;如果Mn还是极大的,本文也给出了这类超曲面的分类.     

马尔可夫链方法在体育专业教学质量评价中的应用

利用马尔可夫链评估法,评价了体育专业教师的教学质量,其评价结果比其他评价方法更具合理性。