Σ△微加速度计中基于脉宽调制的力反馈回路

针对微加速度计接口电路的sigma delta（ΣΔ）数字反馈系统,本文提出一种基于脉宽调制（PWM）的力反馈回路：利用模拟低通滤波器将PWM波解调成模拟输出信号,具有滤波和数模转换功能。首先建立了微加速度计ΣΔ闭环反馈系统的Simulink模型并进行了系统级仿真。之后采用Filter Solutions滤波器设计软件确定三阶低通巴特沃斯滤波器,并采用Pspice仿真软件进行电路级仿真。最后将制作的PCB版电路进行测试：PWM波通过力反馈回路能还原成高保真的模拟信号,输出信号和输入信号的频率相对误差小于0.36%,等效DAC分辨率为8位。试验表明,此方案结构简单、成本低,能以较低电路复杂度实现高精度的模拟信号输出。     

基于B样条整体最小二乘的非线性多功能传感器信号重构方法

提出一种基于B样条整体最小二乘(Total least squares,TLS)的非线性多功能传感器信号重构新方法.该方法利用B样条基函数直接构建描述多功能传感器传递函数反函数的张量积B样条曲面;采用TLS求解超定方程组以获得稳定的控制系数估计.以二输入二输出多功能传感器模型为实验对象,在两种非线性情况下对多功能传感器的输入信号进行了重构,重构相对误差分别为0.162％和1.043％,并与常用重构方法进行了对比分析.理论和实验表明,B样条TLS重构方法对非线性多功能传感器传递函数的反函数具有良好的逼近性能,在信号重构中表现出较好的有效性.     

基于多高斯窗的实值离散Gabor变换

传统的单窗复值离散Gabor变换具有固定的时频分辨率,由于受窗函数时宽-带宽之间的制约关系,即不确定性原理限制,其时间分辨率和频率分辨率是矛盾的关系。为了改善传统离散Gabor变换时频分辨率并加快其变换速度,提出了一种基于多高斯窗的实值离散Gabor变换,实验结果表明能有效改善联合时频域内的聚集性,从而提供了一种快捷地计算非平稳信号进化谱方法。     

数字档案云平台的构建与研究

近年来,云计算已成为计算机网络发展的新趋势。为进一步提高和完善数字化档案的利用率及其管理机制,在现有数字档案馆的发展基础上,借鉴国内外云计算与数字档案馆建设的相关成果,将云计算引入到数字档案馆的建设。基于“档案云”的思想,重新设计数字档案馆的应用服务架构,构建以云计算为基础的数字档案云平台,实现档案的统一管理及档案资源的共享,并以按需计费的方式提供相应的档案著录、查询、鉴定等云应用服务。     

逻辑综合在数字IC设计中的应用

随着数字IC的规模和复杂性不断增加,数字IC设计的难度也在加大,为了更好地进行数字IC设计,业界普遍采用了自动化的设计方式,通过应用工具软件,将IC设计的效率极大地提高.主要探讨了在IC设计当中逻辑综合方面的问题.     

高职院校数字化校园建设的研究与思考

进入“十二五”,高职院校普遍完成了院校组建的初期建设,开始进入内涵建设的阶段。文章从高职院校进行数字化校园建设的目标和意义展开,探讨数字化校园作为高职院校内涵建设的重要组成部分,对提升高职院校的教学、科研和管理水平以及建设现代化的高等职业教育有着极其重要的作用;并对面向高等职业教育、以服务院校实际业务为目的高职院校数字化校园建设进行研究与思考。     

Crusta: A new virtual globe for real-time visualization of sub-meter digital topography at planetary scales

Virtual globes are becoming ubiquitous in the visualization of planetary bodies and Earth specifically. While many of the current virtual globes have proven to be quite useful for remote geologic investigation, they were never designed for the purpose of serving as virtual geologic instruments. Their shortcomings have become more obvious as earth scientists struggle to visualize recently released digital elevation models of very high spatial resolution (0.5-1 m²/sample) and extent (>2000 km²). We developed Crusta as an alternative virtual globe that allows users to easily visualize their custom imagery and more importantly their custom topography. Crusta represents the globe as a 30-sided polyhedron to avoid distortion of the display, in particular the singularities at the poles characteristic of other projections. This polyhedron defines 30 “base patches,” each being a four-sided region that can be subdivided to an arbitrarily fine grid on the surface of the globe to accommodate input data of arbitrary resolution, from global (BlueMarble) to local (tripod LiDAR), all in the same visualization. We designed Crusta to be dynamic with the shading of the terrain surface computed on-the-fly when a user manipulates his point-of-view. In a similarly interactive fashion the globe's surface can be exaggerated vertically. The combination of the two effects greatly improves the perception of shape. A convenient pre-processing tool based on the GDAL library facilitates importing a number of data formats into the Crusta-specific multi-scale hierarchies that enable interactive visualization on a range of platforms from laptops to immersive geowalls and caves. The main scientific user community for Crusta is earth scientists, and their needs have been driving the development.     

Construction and programming of an autonomous focus stacker

Focus stacking is a technique of photomacrography and photomicrography that produces images of small three-dimensional subjects with an arbitrarily high depth of field, unencumbered by diffraction, by combining the in-focus portions of a stack of images of the subject recorded at different focal planes. Software packages are available for postprocessing an image stack into the final image, but the stack images are normally shot either with (typically expensive) automated equipment or by a manual, time-consuming, and error-prone procedures. This paper discusses the construction of an autonomous stacker with inexpensive preassembled electronics and a moderate amount of mechanical construction, and its C++ software.     

An algorithm for generalizing topography to grids while preserving subscale morphologic characteristics—creating a glacier bed DEM for Jakobshavn trough as low-resolution input for dynamic ice-sheet models

The objective of this paper is to derive an algorithm for preserving important subscale morphologic characteristics at grids of lower-resolution, in particular for linear features such as canyons and ridge lines. The development of such an algorithm is necessitated by applications that require reduced spatial resolution, as is common in cartographic generalization, GIS applications, and geophysical modeling. Since any algorithm that results in weighted averages, including optimum interpolation and ordinary kriging, cannot reproduce correct depths, a new algorithm is designed based on principles of mathematical morphology. The algorithm described here is applied to derive a subglacial bed of the Greenland Ice Sheet that includes the trough of Jakobshavn Isbræ as a continuous canyon at correct depth in a low-resolution (5-km) digital elevation model (DEM). Data from recent airborne radar measurements of the elevation of the subglacial bed as part of the CReSIS project are utilized. The morphologic algorithm is designed with geophysical ice-sheet modeling in mind, in the following context. Currently occurring changes in the Earth's climate and the cryosphere cause changes in sea level, and the societal relevance of these natural processes motivates estimation of maximal sea-level rise in the medium-term future. The fast-moving outlet glaciers are more sensitive to climatic change than other parts of the Greenland ice sheet. Jakobshavn Isbrae, the fastest-moving ice stream in Greenland, follows a subglacial geologic trough. Since the existence of the trough causes the acceleration of the slow-moving inland ice in the Jakobshavn region and the formation of the ice stream, correct representation of the trough in a DEM is essential to model changes in the dynamics of the ice sheet and resultant sea-level predictions, even if current ice-sheet models can typically be run only at 5-km resolution. The DEM resultant from this study helps to bridge the conceptual gap between data analysis and geophysical modeling approaches. It is available as SeaRISE Greenland bed data set dev1.2 at http://websrv.cs.umt.edu/isis/index.php/SeaRISE_Assessment.     

A fast and robust bulk-loading algorithm for indexing very large digital elevation datasets: I. Algorithm

Digital elevation models (DEMs) constitute a valuable source of data for a number of geoscience-related applications. The Shuttle Radar Topography Mission (SRTM) collected and made available to the public the world's largest DEM (composed of billions of points) until that date. The SRTM DEM is stored on the NASA repository as a well-organized collection of flat files. The retrieval of this stored topographic information about a region of interest involves one selection of a proper list of files, their downloading, data filtering in the desired region, and their processing according to user needs. With the aim to provide an easier and faster access to this data by improving its further analysis and processing, we have indexed the SRTM DEM by means of a spatial indexing based on the kd-tree data structure, called the Q-tree. This paper is the first in a two-part series that describes the method followed to build an index on such huge amounts of data, minimizing the number of insert operations. We demonstrate that our method can build a very efficient space-partitioning index, with good performance in both point and range queries on the spatial data. To the best of our knowledge, this is the only successful spatial indexing proposal in the literature that deals with such a huge volume of data.