关于英语专业口语课的一项调查

基于 Krashen“监察理论”中的“输入假说”和“情感过滤假说”的理论框架 ,利用所设计的问卷调查显示 ,需要对英语专业口语课使用的教材 ,以及课堂组织等方面进行改革。教材内容应具有连贯性和系统性 ;对不同口语能力的学生实行分班教学 ;中外教师合作 ,共同授课 ;活跃课堂气氛 ,丰富教学方法 ;积极开辟第二课堂 ,加大课后实践量等 ,均是提高口语教学质量的改革内容与方向     

影响LiNbO3波导型F-P滤波器性能的因素

分析了影响LiNbO3波导型F P滤波器性能的3个因素:传输损耗、端面缺陷、温度变化.推导了在考虑波导损耗时的功率传输函数表达式,制作的质子交换LiNbO3光波导的传输损耗为0.35 dB/cm左右,指出在F P腔长较短(0.5~1.0 mm或更短)时,传输损耗不是影响滤波器性能的主要因素.引入端面缺陷因子来分析缺陷对滤波器功率传输函数和精细度的影响,经分析表明要使滤波器保持良好的性能,其缺陷因子不应远大于20 nm.最后分析了温度对滤波器性能的影响,指出温度变化使F P腔的中心波长发生漂移,但对峰值功率传输系数和精细度无影响.     

基于能量差的加权均值递归滤波算法

对基于激光测量的管形零件内轮廓母线采样数据进行滤波.提出了基于能量差的加权均值递归滤波算法.该滤波方法中权值求取方法的思想是尽量给滤波窗口内能量频谱相对集中的采样数据赋予较大的权值,而给由于干扰引起的畸变数据赋予较小的权值.合适的滤波窗口长度通过仿真对比试验获得.这一思想的合理性通过仿真分析和实验测试得到验证,并表现出良好的效果.     

声表面波器件在扩频码分多路系统中的应用

简要介绍了扩频码分多路（ＣＤＭ）的系统模型，重点阐述了声表波（ＳＡＷ）器件在该系统中的应用，并分析了系统的同步性能。     

Recursive estimation of bilinear time series models

In this paper we are concerned with the recursive estimation of bilinear models. Some methods from linear time invariant systems are adapted to suit bilinear time series models. The time-varying Kalman filter and associated parameter estimation algorithm is carried on the bilinear time series models. The methods are illustrated with examples.     

Calculating the autocovariances and the likelihood for periodic V ARMA models

This paper concerns the autocovariance calculation and likelihood evaluation for periodic vector ARMA models (PV ARMA). Based on a state space representation of PV ARMA models, we derive an algorithm for computing the PV ARMA autocovariances. The proposed method computes the autocovariances for distinct seasons separately, thereby facilitating efficient calculation for models with a large period. As a result, the obtained autocovariance calculation procedure is exploited in a periodic Chandrasekhar-type filter to evaluate the exact likelihood for Gaussian PV ARMA series. Empirical evidence shows the superiority of the periodic Chandrasekhar algorithm for likelihood evaluation over the Kalman-based one.     

混合Kalman滤波器与Chamshift人脸跟踪算法的研究

文章通过Kalman滤波器预测由Camshift算法检测到的人脸窗口在下一帧图像可能出现的位置,进行下一帧图像的人脸跟踪.其中,Kalman滤波器的使用克服了单纯使用Cam-shift跟踪在遮挡或者丢失跟踪物体的不足,可以大大提高人脸跟踪的正确率.     

酸度计设计中的数学建模与滤波设计

随着电子技术的不断发展,酸度计设计有了飞跃的进步。本文提出了一种新的酸度计设计方法,并对酸碱度数学建模问题和滤波问题进行了较细致的研究,通过大量实验选择出最优的溶液酸碱度pH值与溶液电极电压之间的关系,用Franclin-c语言进行编程实现。     

Trends and Cycles in Macroeconomic Time Series

Two structural time series models for annual observations are constructed in terms of trend, cycle, and irregular components. The models are then estimated via the Kalman filter using data on five U.S. macroeconomic time series. The results provide some interesting insights into the dynamic structure of the series, particularly with respect to cyclical behavior. At the same time, they illustrate the development of a model selection strategy for structural time series models.     

Stationary state space models for longitudinal data

The authors consider a class of state space models for the analysis of non‐normal longitudinal data whose latent process follows a stationary AR(1) model with exponential dispersion model margins. They propose to estimate parameters through an estimating equation approach based on the Kalman smoother. This allows them to carry out a straightforward analysis of a wide range of non‐normal data. They illustrate their approach via a simulation study and through analyses of Brazilian precipitation and US polio infection data.