一种自适应的奇偶量化水印算法

数字水印是数字媒体版权保护的一种有效方法。提出了一种自适应的奇偶量化水印算法,其量化步长由Watson模型和JPEG量化表共同确定,并通过二者自适应地调节量化步长。水印在DCT的中频系数中嵌入,由于采用奇偶量化,水印提取方法简单。实验结果表明,该算法具有良好的不可见性,算法简单,并能抵抗常规的图像处理和噪声攻击,具有很强的鲁棒性。     

电流互感器误差的一种数字补偿方法

提出了一种对电流互感器误差基于单片机的数字补偿原理。互感器误差具有的非线性特性给左补偿带来困难。有源补偿提取实时激磁电流的方法过于复杂,且难于实现。文中的数字补偿器,通过引进计算机控制避开了提取实时激磁电流,较之与利用相似原理、模拟装置的有源补偿器具有误差补偿的精度高、智能化、通过性强的优点。对离散误差资料进行曲线拟合,误差曲线质量对补偿器性能至关重要。由于误差曲线是光滑的,实际采用阿克玛方法拟合,得到了较好的效果。文章还着重介绍了数字补偿器各主要部分设计原理,概述了其原理、核心硬件和软件设计流程,给出了补偿误差的具体实验结果。     

宽带高速OFDM的实时实现

在简要介绍正交频分复用（Orthogonal frequency division multiplexing,OFDM)原理的基础上,提出采用多片TI公司近推出的TMS320C6201B定点DSP芯片,构成流水线实时实现宽带高速OFDM的硬件平台。实验证明传输码率可达到120Mbps。文中还较为详细地叙述了系统的硬件构成和软件流程。     

Comparison of image reconstruction by using near‐field and far‐field data for an imperfect conductor

Image reconstruction by using near‐field and far‐field data for an imperfectly conducting cylinder is investigated. A conducting cylinder of unknown shape and conductivity scatters the incident wave in free space and the scattered near and far fields are measured. By using measured fields, the imaging problem is reformulated into an optimization problem and solved by the genetic algorithm. Numerical results show that the convergence speed and final reconstructed results by using near‐field data are better than those obtained by using far‐field data. This work provides both comparative and quantitative information. © 2001 John Wiley & Sons, Inc. Int J RF and Microwave CAE 11: 69–73, 2001.     

推钢机系统的同步控制

介绍了在全数字控制系统中利用光电码盘作为位置检测 ,利用S5 - 10 0U可编程序控制器完成位置同步控制的一种方法 ,并以推钢机系统为例介绍此同步控制方法的硬件构成及软件特点 ,通过实际应用表明 ,本系统具有控制精度高 ,可靠性强 ,成本低等优点。     

龙门刨床全数字直流调速系统

采用可编程控制器C6 0和统一直流驱动器MentorⅡ全数字控制装置 ,对B2 0 16型 4m龙门刨床工作的传动进行速度控制 ,给出了设计方案 ,应用表明系统性能稳定、可靠、简单灵活。     

Qualitative Scene Interpretation Using Planar Surfaces

Our aim is to provide an autonomous vehicle moving into an indoor environment with a visual system to perform a qualitative 3D structure reconstruction of the surrounding environment by recovering the different planar surfaces present in the observed scene.The method is based on qualitative detection of planar surfaces by using projective invariant constraints without the use of depth estimates. The goal is achieved by analyzing two images acquired by observing the scene from two different points of view. The method can be applied to both stereo images and motion images.Our method recovers planar surfaces by clustering high variance interest points whose cross ratio measurements are preserved in two different perspective projections. Once interest points are extracted from each image, the clustering process requires to grouping corresponding points by preserving the cross ratio measurements.We solve the twofold problem of finding corresponding points and grouping the coplanar ones through a global optimization approach based on matching of high relational graphs and clustering on the corresponding association graph through a relaxation labeling algorithm.Through our experimental tests, we found the method to be very fast to converge to a solution, showing how higher order interactions, instead to giving rise to a more complex problem, help to speed-up the optimization process and to reach at same time good results.     

Geometric fusion for a hand-held 3D sensor

Abstract. This article presents a geometric fusion algorithm developed for the reconstruction of 3D surface models from hand-held sensor data. Hand-held systems allow full 3D movement of the sensor to capture the shape of complex objects. Techniques previously developed for reconstruction from conventional 2.5D range image data cannot be applied to hand-held sensor data. A geometric fusion algorithm is introduced to integrate the measured 3D points from a hand-held sensor into a single continuous surface. The new geometric fusion algorithm is based on the normal-volume representation of a triangle, which enables incremental transformation of an arbitrary mesh into an implicit volumetric field function. This system is demonstrated for reconstruction of surface models from both hand-held sensor data and conventional 2.5D range images. Received: 30 August 1999 / Accepted: 21 January 2000     

基于模运算的数字水印算法

提出了一种基于模运算的数字水印算法。该算法具有很好的性能：（1）水印隐藏的效果好,凭借人类的视觉系统无法看出与原图像的差别;（2）可以有效的抵抗JPEG等压缩编码的破坏;（3）可以领先部分图像检测水印,在图像受到损坏的情况下,仍可以检测到水印信息;（4）检测水印时受到口令的限制,不知道口令的人无法正确恢复水印;（5）检测水印时不需要原始图像。     

一种基于图象内部信息的轮廓匹配和切片对齐新方法

针对在进行平行系列医学图象三维重建的过程中遇到的两个常见问题-轮廓匹配和切片的对齐问题,提出了一种基于图象内部各个轮廓间相对位置信息的新算法,即利用生物体在系列切面层上的重心位置具有连续性这一规律,在相邻两切片层内寻找轮廓之间的匹配关系,在对齐时,该算法可根据图象的内部信息,首先一性次将切片图移动到理想对齐 位置的附近,然后在其周围寻找使相邻层各匹配轮廓平均距离最小的理想对齐位置。同时,设计了一种一般性的方法,对算法进行了检验,结果证明,该方法具有很高的准确性和实用性。