脉冲噪声环境下宽带循环平稳信号DOA估计算法

针对传统二阶循环相关算法在脉冲噪声环境中的显著退化问题,本文以α稳定分布为噪声模型,提出基于分数低阶循环相关的波达方向(Direction of arrival,DOA)估计算法。利用分数低阶循环相关的相移特性,将宽带循环平稳信号的DOA估计问题转化为"中心频率"为ε的窄带问题,解决了宽带情况下DOA估计困难的问题。计算机仿真结果进一步验证了此算法的有效性,且性能优于传统SC-SSF(Spectral correlation signal subspacefitting)算法。     

光催化降解废气过程中紫外辐射照度模拟和优化

为在光催化设计中合理布置紫外灯,减少光在传输过程中的损失,概括总结径向辐射模型、多点源叠加近似辐射模型和离散坐标辐射模型等3种经典的紫外辐射物理模型;基于离散坐标辐射模型模拟某公司生产的光催化氧化废气处理装置的紫外辐射照度;通过调整灯管布置距离改变光强分布,并拟合光催化单元和光催化网表面的平均紫外辐射照度随灯管布置距离变化曲线.结果表明,距离参数在55～65 mm时,该光催化反应装置的光能利用率较好;紫外灯的合理布置可有效提高光能利用率.     

AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild

International Journal of Computer Vision - Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical solutions often rely on intrusive sensors such as IMUs to...     

基于SOPC的VXI总线数据采集模块设计

介绍了一种基于SOPC思想的VXI总线数据采集模块的设计方法;该方法用Nios II软核处理器实现了模块化数据采集模块的本地控制器,并将VXI总线接口逻辑和的本地控制器集成在一块Cyclone II芯片内;文章还讨论了数据采集模块驱动程序的开发,制作了虚拟仪器软面板;该模块已成功应用到某型悬挂系统的仿真试验中;利用本文提出的这种设计方法来开发VXI总线数据采集模块,能以单芯片取代以往的多芯片设计方案,大大简化电路板设计,增强电路功能的灵活性和系统的可靠性。     

坦克炮控系统摩擦扰动补偿研究

针对坦克水平向炮控伺服系统中存在的摩擦不确定因素及未建模动态,首先建立水平向炮控伺服系统的数学模型,将摩擦扰动和未建模动态视为一个综合扰动项,然后利用扩张状态观测器对综合扰动项进行观测和补偿,并将扩张状态观测器(ESO)补偿回路作为经典PID控制方法的内回路,实现ESO-PID的复合控制;最后对所用方法进行仿真,结果表明,在原有控制方法的基础上设计控制器,集合了PID控制算法的"被动抗扰"和自抗扰控制方法中扩张状态观测器的"主动抗扰"特性,能够在保持控制系统原有特性的基础上大幅度提高炮控系统的稳定精度以及低速性能。     

一种基于软件无线电的中频数字接收机的设计实现

中频数字接收机是随着数字信号处理技术的不断发展而成熟起来的;此文主要是基于软件无线电的思想,采用MATLAB和DSP相结合的新颖开发方法,利用MATLAB-DSP集成开发环境Embedded Target for the TI TMS320C6000DSP Platform,从Simulink模型自动生成TIC6000DSP的可执行代码,从而缩短了DSP算法软件的研发周期;文中的输入信号是AM调制信号,采样率为1.6MHz,调制信号为2kHz,载波为400kHz,经过128倍抽取和滤波,最后输出数据流速率为12.5kHz;通过仿真实验证明,采用软件无线电的思想不仅满足了设计需求,而且增强了不同系统之间的互通性、兼容性、灵活性和可靠性,同时降低了成本。     

开源自动化控制软件Sedona在物联网中的应用

通过讨论物联网的现状、关键技术及发展方向,主要介绍了一种开源自动化控制软件Sedona在物联网的应用技术,包括在物联网架构中如何进行软件开发和应用程序设计,并介绍了该架构的技术特点。Sedona语言是一种通用的面向组件化的编程语言。Sedona虚拟机是一个小型解析器,具有良好的移植性,内嵌多种通信协议,可以运行在任何基于IP通信的网络上。最终实现各设备之间集中控制、分散管理的目标。     

STM32的便携式手机蓝牙考勤机系统设计

在研究各种考勤系统的基础上,提出了一种手机蓝牙实现考勤的方法。该系统采用STM32F103RBT6微处理器作为核心,利用蓝牙模块搜索手机蓝牙设备与本地数据库进行匹配,通过语音播报和液晶显示两种方式给出考勤结果。该设计可以改变传统的被动式考勤方式,且成本低、操作简便。     

Online class size, note reading, note writing and collaborative discourse

Researchers have long recognized class size as affecting students?? performance in face-to-face contexts. However, few studies have examined the effects of class size on exact reading and writing loads in online graduate-level courses. This mixed-methods study examined relationships among class size, note reading, note writing, and collaborative discourse by analyzing tracking logs from 25 graduate-level online courses (25 instructors and 341 students) and interviews with 10 instructors and 12 graduate students. The quantitative and qualitative data analyses were designed to complement each other. The findings from this study point to class size as a major factor affecting note reading and writing loads in online graduate-level courses. Class size was found positively correlated with total number of notes students and instructors read and wrote, but negatively correlated with the percentage of notes students read, their note size and note grade level score. In larger classes, participants were more likely to experience information overload and students were more selective in reading notes. The data also suggest that the overload effects of large classes can be minimized by dividing students into small groups for discussion purposes. Interviewees felt that the use of small groups in large classes benefited their collaborative discussions. Findings suggested 13 to 15 as an optimal class size. The paper concludes with a list of pedagogical recommendations and suggestions for new multimedia software features to enhance collaborative learning in online classes.     

Input‐to‐state stability of min‐max MPC scheme for nonlinear time‐varying delay systems

This paper studies the robustness problem of the min–max model predictive control (MPC) scheme for constrained nonlinear time‐varying delay systems subject to bounded disturbances. The notion of the input‐to‐state stability (ISS) of nonlinear time‐delay systems is introduced. Then by using the Lyapunov–Krasovskii method, a delay‐dependent sufficient condition is derived to guarantee input‐to‐state practical stability (ISpS) of the closed‐loop system by way of nonlinear matrix inequalities (NLMI). In order to lessen the online computational demand, the non‐convex min‐max optimization problem is then converted to a minimization problem with linear matrix inequality (LMI) constraints and a suboptimal MPC algorithm is provided. Finally, an example of a truck‐trailer is used to illustrate the effectiveness of the proposed results. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society