Performance Monitoring and Assessment of Embedded HW/SW Systems

Performance assessment of embedded HW/SW systems built with various types of VLSI components, i.e. heterogeneous multi-processor architectures, is important to help the development of complex real-time applications. To design such a tool, two issues must be solved: the gathering of relevant information simultaneously on several components without disturbing the application behavior, display of the performance results in a way that can be easily interpreted by designers. This paper presents a significant solution for the two above issues. We first describe what the goal for designers is and what kind of applications are concerned. Then we describe the principle of collecting an event trace and the technique to evaluate the selected performance indexes. The monitoring technique, based on a specific ASIC, is non-intrusive and allows our tool to capture real-time event occurrences from software tasks, and even from hardware functions implemented in ASICs. Each event is automatically time-stamped, collected and processed in real-time to evaluate the performance indexes selected by the designer. We also describe the display tool which clearly shows the results to the designer according to different representations. This technique and the associate real-time performance analyzer are integrated in a complete development process based on the MCSE methodology.     

基于嵌入式系统的激光扫描检测系统

为了提高回转体零件的加工和检测精度,将光电检测技术与电子计算机技术相结合,设计并研制了一种基于嵌入式系统的激光扫描检测系统,给出了设计原理和软硬件设计方法,并利用该系统对轴径不同的六组标准工件进行测量.实验表明,该系统的平均测量误差为0.00283mm,满足设计指标要求的3μm,能够极大提高回转体零件的尺寸测量精度,具有较好的应用价值.     

基于Qt/Embedded的微波信号发生器软件设计

嵌入式应用对图形用户界面(GUI)的要求越来越高。选择一个合适的GUI很重要。介绍了嵌入式Linux下几种典型的GUI的各自特点,分析了Qt/Embedded的技术细节。使用Qt/Embedded设计的微波信号发生器频率切换时间达到了45 ms,单边带相位噪声为-75 dBc/Hz,功率准确度为0.52 dB。其他指标也达到了设计的要求。     

一种结合遗传算法和钻石搜索的多模式快速运动估计方法

为了解决视频编码中运动矢量搜索精度与速度的矛盾,本文提出了一种基于遗传算法(GA)和钻石搜索(DS)的多模式快速运动估计方法——MMS算法.它以图像序列的时空预测矢量作为图像活动剧烈程度的判据,自适应选择搜索模式.针对平缓运动类型使用快速的DS搜索模式,针对剧烈运动类型使用GA/DS联合搜索模式.与现有的次优解快速算法相比,MMS有效地解决了在大运动矢量情况下编码器性能下降的问题,可以从整体上提升编码器的性能,接近理想的全搜索法的结果;与其它直接利用GA进行全局优化的方法相比,MMS利用DS配合GA实现加速收敛.此外,通过引入多模式处理的概念,在保证搜索精度的同时,充分发挥了次优解算法的效率,整体编码速度与DS等快速算法的结果十分接近.这一方法为有效地解决运动估计中的矛盾问题提供了一个新的处理框架.实验结果验证了算法的性能.     

印制电路板应变测量用应变片选用方法研究

应变测量由于它的众多优点在电子产品可靠性领域的应用越来越广泛,但电阻应变片的类型繁多,功能各异,以至于使用者很难找到满足自己测试目的和测试环境的应变片。文章提出的选用方法从应变片种类、敏感栅材料、基底材料、电阻值、尺寸、敏感栅结构型式和测试量境温度等方面,综合考虑并结合生产商的应变片型号编码系统,可以快捷地找到适合的印制电路板应变测量用应变片,同时针对绝大多数电子制造商不具备专业应变片检定设备的现实,介绍了一套简单可行的应变片检定工具,并通过两个实例证明该检定方法的可行性。     

无线mesh网中最小编码代价低时延多播路由

提出了一种无线mesh网中最小网络编码代价低时延多播路由协议(MNCLDMR, minimal network coding and low delay multicast routing)。MNCLDMR的目标是选择合适的网络编码节点,最小化网络编码代价,降低网络时延。MNCLDMR主要思想是引入拓扑关键节点和网络编码关键节点的概念,以下一跳的节点是否是网络编码关键节点或拓扑关键节点作为路由判据,采用MNCLD算法构造多播树。仿真结果表明,MNCLDMR可以达到预定目标,合理形成网络编码机会,能实现最小网络编码代价低时延多播路由。     

新型嵌入式处理器NiosII在电机伺服控制中的应用

NiosII系列嵌入式处理器是Altera公司的32位RISC结构CPU。文章介绍了NiosII的结构特点及开发流程,利用NiosII软核设计了一个嵌入式直流无刷电机伺服控制系统。该系统充分利用Nios处理器集成度高、灵活性强、运算速度快的特点,实现了单个芯片完成可编程片上系统(SOPC),具有灵活、稳定、高效率等特点,而且系统本身结构极为紧凑。该系统已成功应用于机器人仿人灵巧手系统。     

基于IFS分形理论的信源编码技术的研究

本文首次系统地研究了基于ＩＦＳ分形理论的信源压缩编码与传统方法的关系。     

一种基于能量高效的多路径路由编码算法

针对如何降低无线传感网络中的节点能量消耗问题,文章提出了一种基于能量高效的网络模型和编码模型,给出了相应的网络编码策略和能量消耗模式,建立了一种新的基于网络编码多路径路由技术的节点能量有效算法,并以误码率为参照基准,与有关的多路径路由协议算法做了相应的实验比较。仿真结果表明,文章所提出的方法在能量高效、网络生命延长及数据分组传递方面有较好的改进。     

Cross-layer modeling of adaptive wireless links for QoS support in heterogeneous wired-wireless networks

Future wired-wireless multimedia networks require diverse quality-of-service (QoS) support. To this end, it is essential to rely on QoS metrics pertinent to wireless links. In this paper, we develop a cross-layer model for adaptive wireless links, which enables derivation of the desired QoS metrics analytically from the typical wireless parameters across the hardware-radio layer, the physical layer and the data link layer. We illustrate the advantages of our model: generality, simplicity, scalability and backward compatibility. Finally, we outline its applications to power control, TCP, UDP and bandwidth scheduling in wireless networks. The work by Q. Liu and G. B. Giannakis are prepared through collaborative participation in the Communications and Networks Consortium sponsored by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The work by S. Zhou is supported by UConn Research Foundation internal grant 445157. Qingwen Liu (S’04) received the B.S. degree in electrical engineering and information science in 2001, from the University of Science and Technology of China (USTC). He received the M.S. degree in electrical engineering in 2003, from the University of Minnesota (UMN). He currently pursues his Ph.D. degree in the Department of Electrical and Computer Engineering at the University of Minnesota (UMN). His research interests lie in the areas of communications, signal processing, and networking, with emphasis on cross-layer analysis and design, quality of service support for multimedia applications over wired-wireless networks, and resource allocation. Shengli Zhou (M’03) received the B.S. degree in 1995 and the M.Sc. degree in 1998, from the University of Science and Technology of China (USTC), both in electrical engineering and information science. He received his Ph.D. degree in electrical engineering from the University of Minnesota, 2002, and joined the Department of Electrical and Computer Engineering at the University of Connecticut, 2003. His research interests lie in the areas of communications and signal processing, including channel estimation and equalization, multi-user and multi-carrier communications, space time coding, adaptive modulation, and cross-layer designs. He serves as an associate editor for IEEE Transactions on Wireless Communications since Feb. 2005. G. B. Giannakis (Fellow’97) received his Diploma in Electrical Engineering from the National Technical University of Athens, Greece, 1981. From September 1982 to July 1986 he was with the University of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engineering, 1986. After lecturing for one year at USC, he joined the University of Virginia in 1987, where he became a professor of Electrical Engineering in 1997. Since 1999 he has been a professor with the Department of Electrical and Computer Engineering at the University of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications. His general interests span the areas of communications and signal processing, estimation and detection theory, time-series analysis, and system identification -- subjects on which he has published more than 200 journal papers, 350 conference papers and two edited books. Current research focuses on transmitter and receiver diversity techniques for single- and multi-user fading communication channels, complex-field and space-time coding, multicarrier, ultra-wide band wireless communication systems, cross-layer designs and sensor networks. G. B. Giannakis is the (co-) recipient of six paper awards from the IEEE Signal Processing (SP) and Communications Societies (1992, 1998, 2000, 2001, 2003, 2004). He also received the SP Society’s Technical Achievement Award in 2000. He served as Editor in Chief for the IEEE SP Letters, as Associate Editor for the IEEE Trans. on Signal Proc. and the IEEE SP Letters, as secretary of the SP Conference Board, as member of the SP Publications Board, as member and vice-chair of the Statistical Signal and Array Processing Technical Committee, as chair of the SP for Communications Technical Committee and as a member of the IEEE Fellows Election Committee. He has also served as a member of the IEEE-SP Society’s Board of Governors, the Editorial Board for the Proceedings of the IEEE and the steering committee of the IEEE Trans. on Wireless Communications.