丝带质量在线测控仪

介绍了丝带质量在线检测的测量原理,计算方法及硬件构成,测控仪可对丝带的质量参数进行了高速,非接触实时测量,并显示和传递测量数据,从而实现了对丝带质量的监控。     

动态尾部金融网络结构与传染性度量

基于Lasso高维分位数回归模型,本文构建了中国金融系统的尾部网络结构,并定义了总体网络以及行业间、行业内和金融机构间等多层金融网络的尾部风险传染度,解构其传染机制与关联特征,评估各机构双向系统重要性(接收端和发射端)。同时,本文提出了一个最优滚动窗宽选择标准方法,以优化滚动样本技术下的动态网络结构。结果表明,所有层级尾部风险传染效应(总体系统、行业间、行业内和机构间)在经济金融极端困境时期,呈现明显增强及剧烈震荡特征,2015年中国股灾期间尤甚。跨行业传染效应日益严峻,银行与保险间表现出较强关联性,房地产机构与其他金融机构间均表现出较高传染性,跨业监管值得关注。接收与发射最多尾部风险传染的金融机构仍然是银行与证券类机构。系统中超过50%的金融机构倾向于接收风险传染,一旦出现系统性冲击,整个金融系统的稳定性将遭受重创,因此,应加强此类机构应对外界冲击的能力。此外,基于新滚动窗宽选择标准法的动态模型的估计性能明显优于传统方法。研究结论有助于理解中国金融系统的网络结构和传染机制,对宏观审慎监管体系的建立提供了依据。     

CORRECTING FOR KURTOSIS IN DENSITY ESTIMATION

Using a global window width kernel estimator to estimate an approximately symmetric probability density with high kurtosis usually leads to poor estimation because good estimation of the peak of the distribution leads to unsatisfactory estimation of the tails and vice versa. The technique proposed corrects for kurtosis via a transformation of the data before using a global window width kernel estimator. The transformation depends on a “generalised smoothing parameter” consisting of two real-valued parameters and a window width parameter which can be selected either by a simple graphical method or, for a completely data-driven implementation, by minimising an estimate of mean integrated squared error. Examples of real and simulated data demonstrate the effectiveness of this approach, which appears suitable for a wide range of symmetric, unimodal densities. Its performance is similar to ordinary kernel estimation in situations where the latter is effective, e.g. Gaussian densities. For densities like the Cauchy where ordinary kernel estimation is not satisfactory, our methodology offers a substantial improvement.     

PWPM信号的功率谱研究

对脉冲宽度、位置联合调制(pulse width and position modulation)简称 PWPM 方式的随机信号序列功率谱进行了研究,文献[1]的理论结果显示 PWPM 随机信号序列功率谱中存在符号(symbol)同步信号离散谱成分,这有利于在接收端正确接收 PWPM 信号.用计算机模拟估计了 PWPM 随机信号序列的功率谱.其结果也表明了 symbol 同步信号的存在.     

基于MATLAB仿真和单片机控制的直流脉宽调速系统

阐述了基于MATLAB仿真和单片机控制的数字直流脉宽调速系统,详细介绍了SIMULINK仿真过程和单片机控制系统的组成以及实现方法。     

PWM在合成语音输出电路中的应用

基于采用权电流D/A方式实现合成语音输出方式有集成电阻离散性大、开关的非线性,以及功耗高等缺点,提出了利用脉冲宽度调制(PWM)技术的方法将数字语音信号直接转换为脉冲宽度调制波,并通过低通滤波器生成模拟语音信号。PWM语音输出方式相对一般的DAC语音输出方式具有功耗小、工艺适应能力强、设计可靠等优点,并且PWM语音输出方式已经成功应用于语音合成芯片中,输出合成语音质量良好。     

The Clustering of Categorical Data: A Comparison of a Model-based and a Distance-based Approach

For clustering multivariate categorical data, a latent class model-based approach (LCC) with local independence is compared with a distance-based approach, namely partitioning around medoids (PAM). A comprehensive simulation study was evaluated by both a model-based as well as a distance-based criterion. LCC was better according to the model-based criterion and PAM was sometimes better according to the distance-based criterion. However, LCC had an overall good and sometimes better distance-based performance as PAM, although this was not the case in a real data set on tribal art items.     

新生英语词汇量历时状况调查与分析

词汇量调查与研究在中国已为许多专家、教师所重视,但所做调研多数为共时调查,历时状况的调查不多。历时状况调查可了解学习者词汇量一个时期的稳定水平。为此,笔者对北航2001级和2002级非英语专业本科生在入学后立即进行词汇量测试,对受试总词汇量、中学阶段词汇量和超出中学教纲而在大学英语四级词汇范围内的词汇的识别情况进行了讨论与分析。并根据统计结果对教学安排提出了参考意见。     

Multivariate Real-Time Signal Extraction by a Robust Adaptive Regression Filter

We propose a new regression-based filter for extracting signals online from multivariate high frequency time series. It separates relevant signals of several variables from noise and (multivariate) outliers.

Unlike parallel univariate filters, the new procedure takes into account the local covariance structure between the single time series components. It is based on high-breakdown estimates, which makes it robust against (patches of) outliers in one or several of the components as well as against outliers with respect to the multivariate covariance structure. Moreover, the trade-off problem between bias and variance for the optimal choice of the window width is approached by choosing the size of the window adaptively, depending on the current data situation.

Furthermore, we present an advanced algorithm of our filtering procedure that includes the replacement of missing observations in real time. Thus, the new procedure can be applied in online-monitoring practice. Applications to physiological time series from intensive care show the practical effect of the proposed filtering technique.     

Parametric and nonparametric confidence intervals for estimating the difference of means of two skewed populations

In this paper, we have reviewed and proposed several interval estimators for estimating the difference of means of two skewed populations. Estimators include the ordinary-t, two versions proposed by Welch [17] and Satterthwaite [15], three versions proposed by Zhou and Dinh [18], Johnson [9], Hall [8], empirical likelihood (EL), bootstrap version of EL, median t proposed by Baklizi and Kibria [2] and bootstrap version of median t. A Monte Carlo simulation study has been conducted to compare the performance of the proposed interval estimators. Some real life health related data have been considered to illustrate the application of the paper. Based on our findings, some possible good interval estimators for estimating the mean difference of two populations have been recommended for the researchers.