Integrated Smart Sensor Calibration

In many applications electronic sensors are used toimprove performance and reliability of measurement systems. Suchsensors should provide a correct transfer from the physical signalto be measured to the electrical output signal. One importantstep to achieve this, is to calibrate each sensor by applyingdifferent reference input signals and adjusting the sensor transferaccordingly. Besides expensive reference equipment the calibrationprocess takes much time and attention per individual sensor,which means a considerable increase in sensor production costs.By including at the sensor or sensor interface chip a programmablecalibration facility the calibration of such smart sensors caneasily be automated and can be executed for a batch of sensorsat a time, thus minimizing the calibration time and costs. Thispaper presents a calibration method and options for integrationin the smart sensor concept, in hardware as well as in software.An advantage of the proposed method is that it does not needa large matrix of calibration data, which needs to be storedin a look-up table or converted into a correction formula, butinstead it uses a step-by-step approach to correct the sensortransfer at each calibration measurement until the error is sufficientlysmall.     

A new FMS architecture based upon networked DSP servo technology

This paper presents a critical evaluation of existing FMS architectures and the academic and industrial design and development strategies used during their formulation. The paper seeks to address the need for, and value of, existing architectures within the industrial arena. More importantly however, this paper puts forward a new two-tier distributed control architecture for FMS based upon new (real-time) networkable DSP servo control methodologies developed by one of the authors for Softronics in Australia. The ramifications of these methodologies are substantial, not only in terms of FMS control, but in the overall simplification of such systems and the development of flexible fixturing devices over the coming decade. This paper also postulates on how new FMS architectures can be developed from such technologies and details why such architectures could be more appropriate to industry needs than those that are currently in existence.     

无线电引信多普勒信号增速器的研究

论述了无线电引信多普勒信号增速器的实现原理及意义，介绍了采用ＴＭＳ３２０Ｃ３０作为ＣＰＵ、多片大容量静态ＲＡＭ芯片构成海量存储体的信号增速器硬件结构和软件设计，并提出了今后的研究方向。     

Tracking Control and Synchronization for Two-Dimension Discrete Chaotic Systems

1　ＩｎｔｒｏｄｕｃｔｉｏｎＳｉｎｃｅ 1 990 ,ｃｈａｏｔｉｃｓｙｎｃｈｒｏｎｉｚａｔｉｏｎ[1～ 4] ａｎｄｃｈａｏｔｉｃｃｏｎｔｒｏｌｌｉｎｇ[5～6] ｈａｖｅｒｅｃｅｉｖｅｄａｇｒｅａｔｄｅａｌｏｆａｔｔｅｎｔｉｏｎ[7～1 1 ] ,ａｎｄｃｈａｏｔｉｃｓｙｎｃｈｒｏｎｉｚａｔｉｏｎｉｓａｐｈｅｎｏｍｅｎｏｎｏｆｉｎｔｅｒｅｓｔｉｎｆｉｅｌｄｓｆｒｏｍｅｌｅｃｔｒｏｎｉｃｓｔｏｃｏｍｍｕｎｉｃａｔｉｏｎ[1 2 ] ,ａｎｄｆｒｏｍｂｉｏｐｈｙｓｉｃｓｔｏｎｅｕｒｏ ｓｃｉｅｎｃｅ[1 3] .Ｉｆｃｈａｏｔｉｃｓｙｎｃ…     

神经网络余／十转换的数学原理

本文提出了孙子定理的微分方程求解法，讨论了系数为求余算子的非线性微分方程的稳定平衡点和最佳解的误差。本文构造的非线性微分方程可以唯一地收敛于孙子定理的解，其误差可任意小。该微分方程可用人工神经网络实时计算，实现余／十转换。计算机模拟结果证实了本文理论的正确性。     

3D Motion Estimation and Motion Fusion by Affine Region Matching

In this paper,a new method is presented for 3D motion estimation by image region correspondences using stereo cameras.Under the weak perspectivity assumption.we first employ the moment tensor theory (Cyganski and Orr^[11]) to compute the monocular affine transformations relating images taken by the same camera at different time instants and the binocular affine transformations relating images taken by different cameras at the same time instant.We then show that 3D motion can be recovered from these 2D transformations.A space-time fusion strategy is proposed to aim at robust results.No knowledge of point correspondences if requred in the above processes and the computations involved are linear.To find corresponding image regions,new affine invariants,which show stronger invariance,are derived in term of tensor contraction theory.Experiments on real motion images are conducted to verify the proposed method.     

f—x域内提高地震资料的信噪比

在 f-x 域,地震记录可以表示成有限个调频调幅正弦波的叠合,叠合的结果是一个连续且光滑的函数。我们可以用一个简单的 n 次多项式去逼近这个函数。本文提出了一种在 f-x 域用最小平方拟合原理消除随机噪声的新方法,并证明了在噪声为自噪以及空间采样足够密的条件下,拟合结果与噪声无关,即 f-x 域最小平方拟合处理可以有效地消除记录上的随机白噪,而对有效信号的破坏甚微。由于理论上允许振幅值及同相轴形态在空间上发生变化,因而该方法不具有混波作用,是高分辨率处理的理想工具。     

血液流速测量中血红细胞的多普勒信号

采用双光束干涉条纹模型，用光散射理论得出了激光多普勒测速中大型散射粒子的多普勒信号幅值的表达式：用数值解法求得多普勒信号幅值随散射粒子半径变化的曲线。红血球直径即使比干涉条纹宽度大10倍，也会有良好的多普勒信号。给出了实测的血流多普勒信号。     

中央电视台第一个数字化演播室视频系统介绍

数字电视系统在提高图像质量方面已显示出极大的优越性。因此，世界各国电视台都已开始数字化的进程，中国也不例外。本文详细介绍了中央电视台第一个数字化演播室－８００ｍ＾２演播室的视频系统，包括视频系统数字信号格式的确定，主要设备的特点以及演播室数字视频系统的主要特点等，供广大同行参考。     

离散Hopfield神经网络和联想记忆的开关电流技术实现

研究了离散Ｈｏｐｆｉｅｌｄ神经网络（ＤＨＮＮ）和联想记忆神经网络的开关电流技术实现，利用多权输入跨导，开关电流延迟器（ＳＩＤ）和可编程电流比较器（ＰＣＣ）实现了离散Ｈｏｐｉｅｌｄ神经网络，并提出了利用离散Ｈｏｐｆｉｅｌｄ神经网络实现自联想记忆时相应的开关电流电路，所提出了开关电流神经网络适宜于超大规模集成，能在低电压（如３．３Ｖ）下工作。