基于梳状导频的MISO—OFDM系统的信道估计

可以对基于频域插入梳状导频的三种不同信道估计算法进行改进,并分别在频域和时域施行。仿真结果表明,这三种估计算法都具有很好的性能,而时域方法能提供相对简单的结构。     

《世说新语》中魏晋人物品藻的审美价值取向研究

魏晋南北朝时期是一个文学自觉时代,也是人的自觉时代.<世说新语>"人物品藻"在对人物的品评鉴识中确立审美价值取向及其观测点,着重从精神品质、个性风格、自然表达三个角度建构审美人格和人性,极大地影响了中国古代文学批评的发展,确立了"文如其人"的作者评论倾向和"文学是人学"的"原人论"文论导向.     

"电子测量技术"课程考核法研究

提出了一种新的“电子测量技术”课程考核方法。该方法能够较好地提高学生学习积极性,更好地促使学生遵守课堂纪律,有效地减轻学生的考试压力;注重培养学生的学习方法和知识理解能力,有助于培养学生的职业技能及创新能力。     

中国经济增长与公共图书馆发展的关系研究 ——基于异质门槛效应视角

[目的/意义]探究中国经济增长对公共图书馆发展影响的门槛效应,这将对落实以为人本的科学发展观,促进公共文化事业发展,保障经济稳定发展给予有力的数据支持.[方法/过程]收集2008—2019年中国31个省、市、自治区的面板数据,运用非参数核密度估计展示中国经济增长与公共图书馆发展的动态演化过程,并构建面板门槛模型考察两者...     

Matlab在非参数自回归模型中的应用

结合深证成指数据着重讨论了Matlab在非参数自回归模型中的应用,通过滞后阶的确定和局部线性估计等两个主程序较完整地展现了Matlab语言编程的简洁性和优越性.     

混合双参数Pareto分布在截尾数据下的参数估计

应用EM算法之ECM算法,研究了混合分布在截尾数据场合下的参数估计问题,并给出具体的算式．说明EM算法是一种行之有效的方法．     

Improved estimator of the continuous-time kernel estimator

There have been many papers presenting kernel density estimators for a strictly stationary continuous time process observed over the time interval [0, T ]. However the estimators do not satisfy the property of mean-square continuity if the process is mean-square continuous. In this paper we present a modified kernel estimator and substantiate that the modified estimator satisfies the property of mean-square continuity. In a simulation study the results show the modified estimator is better than the original estimator in some cases.     

变异系数的统计推断及其应用

变异系数是反映总体离散程度的重要指标。应用delta方法研究了样本变异系数的渐近分布,进一步构造了其置信区间及检验统计量,并用Monte Carlo方法给出了置信区间的模拟覆盖概率和检验的模拟功效,最后分析了一组实际考试成绩。     

Virtual tennis system for optimum exercising based on a user model

It is said that improving movement habits is effective way to solve the problem of obesity. However, there are many people who are unable to form a habit of exercising for reasons, such as ＂feeling troublesome to go to the gym＂ and ＂getting sick of exercise at home due to the monotony＂. Previous researches have proposed systems that provide virtual reality environment for enjoying interactive exercising. In this paper, the authors describe a virtual tennis system that can control a game mode to let a user maintain an appropriate exercise load based on an estimation of the user＇s heart rate state. The author has created a Bayesian network model for heart rate state estimation. The probabilities of heart rate states can be calculated by using the model, and then the heart rate state which has the highest probability is selected as an estimation result. The author has evaluated the virtual tennis system experimentally and ascertained the effectiveness of the system to appropriate exercise load maintenance.     

Mutual point-winning probabilities (MPW): a new performance measure for table tennis

ABSTRACT

We propose a new performance measure for table tennis players: the mutual point-winning probabilities (MPW) as server and receiver. The MPWs quantify a player’s chances to win a point against a given opponent, and hence nicely complement the classical match statistics history between two players. These new quantities are based on a Bradley-Terry-type statistical model taking into account the importance of individual points, since a rally at 8–2 in the first set is less crucial than a rally at the score of 9–9 in the final set. The MPWs hence reveal a player’s strength on his/her service against a given opponent as well as his/her capacity of scoring crucial points. We estimate the MPWs by means of maximum likelihood estimation and show via a Monte Carlo simulation study that our estimation procedure works well. In order to illustrate the MPWs’ versatile use, we have organized two round-robin tournaments of ten respectively eleven table tennis players from the Belgian table tennis federation. We compare the classical final ranking to the ranking based on MPWs, and we highlight how the MPWs shed new light on strengths and weaknesses of the players.