微积分思想在中学物理教学中的一个应用

介质质点的振动方向与波的传播方向之间存在密切联系,本文介绍在中学物理教学中讲好这一联系的三个重要环节.     

基于单片机的失真度测试仪

失真度表征一个信号偏离正弦信号的程度。本文采用基波剔除法,设计了一种基于单片机的简易非线性失真度测试仪,具有智能数控自动调谐功能,可以进行音频信号失真度的测试,并显示被测信号的基波频率以及失真度。该设计方案成本低廉,简单易用;测试结果表明,测试仪工作稳定可靠,测试精度达到实用要求。     

基于matlab的ECG信号QRST波检测算法研究

以PhysioNet Library的QT database标准心电图信号为研究对象,以matlab软件作为研究平台,首先对心电图信号进行了2次滤波,然后对QRS波群进行检测,再次对T波及T波结束点进行了定义,最后对测试结果进行了分析,较准确地得到了QRST波的相关信息,效果良好。     

高次Wilson元的收敛性分析

给出了Poisson方程的非协调高次Wilson有限元方法的收敛性分析,并得到最优误差估计,同时通过数值算例验证了理论分析的正确性.     

Tracking error reduction in CNC machining by reshaping the kinematic trajectory

In this paper, a method of reducing the tracking error in CNC machining is proposed. The structured neural network is used to approximate the discontinuous friction in CNC machining, which has jump points and uncertainties. With the estimated nonlinear friction function, the reshaped trajectory can be computed from the desired one by solving a second order ODE such that when the reshaped trajectory is fed into the CNC controller, the output is the desired trajectory and the tracking error is eliminated in certain sense. The proposed reshape method is also shown to be robust with respect to certain parameters of the dynamic system.     

应用英语专业外贸英语函电写作错误分析与建议

国际贸易在经济全球化和全球信息化的过程中得到迅猛的发展，外贸英语函电写作成为国际贸易中必不可少的一项商务活动。本文通过对应用英语专业学生的外贸英语函电习作的分析，探讨了学生函电写作中的常见错误，并提出了相应的建议，以期提高学生的外贸函电写作能力。     

波动方程预测误差的统计分析与Gauss过程建模

为了提高预测复杂波动过程的能力,结合物理模型和统计方法建立了"波动方程-Gauss过程"模型。通过误差分析,波动方程的理论预测与实际数据的差值被分解为3个部分,并拟合为Gauss过程模型:外力和初边值条件偏移带来的误差拟合为正交预测因子的线性叠加;模型假设不成立、数值解收敛性等因素导致的误差拟合为Gauss过程项;测量误差拟合为白噪声。"波动方程-Gauss过程"模型的预测因子是波动过程的基函数组,作为波动的本征特性不受外界影响,体现了波动的物理机理。基于实验数据的预测效果检验说明模型的基函数组和Gauss过程项都显著提高了预测波动过程的能力。     

高校隐性文化建设的探索和思考

综述了高校隐性文化的内涵和特征，分析了高校隐性文化建设的误区，在此基础上探讨了建设对策。     

Break Detectability and Mean Square Forecast Error Ratios for Selecting Estimation Windows

It has been suggested that a major problem for window selection when we estimate models for forecasting is to empirically determine the timing of the break. However, if the window choice between post‐break or full sample is based on mean square forecast error ratios, it is difficult to understand why such a problem arises since break detectability and these ratios seem to have the same determinants. This paper analyses this issue first for the expected values in conditional models and then by Monte Carlo simulations for more general cases. Results show similar behaviour between rejection frequencies and the ratios but only for break tests that do not take into account forecasting error covariances, as is the case with mean square forecast error measures. Moreover, the asymmetric shape of the frequency distribution of the ratios could help us to better grasp empirical problems. An illustration using actual data is given. Copyright © 2011 John Wiley & Sons, Ltd.     

非线性拟双曲方程的H1-Galerkin混合有限元方法

本文讨论了神经传递信号关于时间和空间的变化率问题的H1-Galerkin混合元方法, 提出了该问题的全离散格式,得到了离散解逼近未知函数和伴随向量的最优L2模误差估计.