gHRV: Heart rate variability analysis made easy

In this paper, the gHRV software tool is presented. It is a simple, free and portable tool developed in python for analysing heart rate variability. It includes a graphical user interface and it can import files in multiple formats, analyse time intervals in the signal, test statistical significance and export the results.     

Oracle应用系统的数据完整性保护

本文首先介绍和比较了Ｏｒａｃｌｅ系统的三种数据完整性保护机制，并通过一个实例给出了合理利用这些机制的实现方法。     

Critical Time Intervals for Taking in Flight Information in a Ball-Catching Task

A ball-catching task in which the ball was caused to enter on a parabolic flight path by means of a mechanical apparatus was administered to 36 male students between the ages of 18 and 40 years. An electronic device enabled the ball to be illuminated for predetermined temporal intervals during its flight. Results indicated that in this relatively unpredictable task opportunity to watch the ball for longer periods of time resulted in increased catching success. Results are discussed in relation to previous experimental work in which the ball was on a more predictable trajectory (since output information was available) and are related to the perceptual moment hypothesis.     

基于声波处理的变压器故障诊断与状态发展趋势预测

提出了一种声波检测法.该方法可以进行变压器故障诊断与趋势预测.     

虚拟仪器在振动测量系统中的应用

介绍以LabVIEW为软件平台构建的振动测试虚拟仪器系统的硬件组成及软件的设计思想,其中软件是虚拟仪器的核心。通过虚拟面板的演示表明该软件系统能够完成对信号的时域、频域的显示和分析。     

谐波参数测试方法探讨

提出了一种采用测量接收机测试射频信号源谐波参数的方法,并对该方法的特点、应用范围进行了分析,进而实现了该方法的自动化测试,解决了在没有频谱分析仪的情况下测试射频信号源谐波参数的问题。     

光缆双向数模混合传输系统设计

讨论了利用ＷＤＭ技术、数字复接及解复接技术、信号合成与分离技术、信号调制解调技术、ＰＣＭ编解码技术和光纤发射与接收技术等技术，用一根光纤进行多路模拟和多路数字信号双向传输试验的系统设计和电路设计。最后提供了试验结果。     

Duffing振子微弱信号检测方法的统计特性研究

利用混沌振子可以检测极其微弱的信号，并且具有很多优点，本文根据随机微分方程理论，通过对噪声经过Ｄｕｆｉｉｎｇ系统后统计特性的分析，确定了采用此方法检测的信噪改善比，从而为该方法的实际应用提供了指导，并且，本文针对周期系数线性微分方程的特点，提出了其输出统计特性的求法。     

The two-dimensional minimum-bias window function

Using the criterion of minimization of the bias integral, by means of a quantum-mechanical analogy, the optimum two-dimensional window function for spectral estimates is determined. The optimum window and its two-dimensional Fourier transform are numerically evaluated. A comparison is carried out with some other standard windows. A three-dimensional generalization is briefly outlined.     

Least squares based and gradient based iterative identification for Wiener nonlinear systems

This paper derives a least squares-based and a gradient-based iterative identification algorithms for Wiener nonlinear systems. These methods separate one bilinear cost function into two linear cost functions, estimating directly the parameters of Wiener systems without re-parameterization to generate redundant estimates. The simulation results confirm that the proposed two algorithms are valid and the least squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm.