2-D FFT algorithm by matrix factorization in a 2-D space

A new 2-D FFT algorithm is described. This algorithm applies a 2-D matrix factorization technique in a 2-D space and offers a way to do 2-D FFT in both dimensions simultaneously. The computation is greatly reduced compared to traditional algorithms. This will improve the realization of a 2-D FFT on any kind of computer. However its good parallelism will especially benefit an implementation on a computer with hypercube architecture. A good arrangement of parallel processors will save a great deal of running time. Furthermore this algorithm can be extended toM-D cases forM>2.Supported by NSF Grant CCR-8813493.Supported by Grants DMS-8607687, DMS-8722402, and DMS9002019.     

A Pulsed Communication/Computation Framework for Analog VLSI Perceptive Systems

This paper presents the principles, the main propertiesand some applications of a pulsed communication system adaptedto the needs of the analog VLSI implementation of perceptivesystems. The system takes advantage of the fact that activitiesin perception tasks are often sparsely distributed over a largenumber of elementary processing units (cells) and facilitatesaccess to the communication channel for the more active cells.The resulting architecture can be advantageously used to setup connections between distant cells on the same chip or point-to-pointconnections between cells on different chips when direct wiringis prohibitive. Cells communicate in an asynchronous fashionwhich conserves the fine time relationships of events. The systemalso lends itself to the simple circuit implementation of typicalbiologically inspired connectivity patterns such as projectionof the activity of one cell on a region (its projective field)of the next neural processing layer, which can be on a differentchip in an actual implementation, as is the case for one of theapplications presented: an oriented-edges enhancement system.     

Object recognition by a massively parallel 2-D neural architecture

The use of a massively parallel neural array for multiple 2-D object recognition is explored. The array architecture has a parallel modular form with each module being trained over a specific object class. One test bed is developed using alphabetic characters which have been subjected to a scale factor and rotational operations. This test bed provides a simultaneous measure of geometric invariance and of character recognition. The performance of the modular design is benchmarked against a backprop-trained multilayer perceptron network of equivalent generality. A second test of the modular array is conducted using TV and FLIR images. This second evaluation assesses the ability to extract obejct signatures from a clutter background.     

一种自适应的光流估计方法

本文通过对光流基本约束项和平滑约束项加以改进,提出一种自应用的光流估计算法。这种算不能够较精确进行光流运动估计,减轻Horn方法中全局平滑约束对运动边界的影响,提高估计的峰值信噪比。实验结果表明：这种算法是有效的。     

Polarization Optical Sensor for Dynamical Deformation Measurements on 1-D or 2-D Mechanical Structures

An optical technique based on light polarization is implemented for real-time distortion measurement on mechanical structures. The method uses a polarization gradient encoding on coherent light beam to produce an absolute reference scale. In order to test the performances of the device, a series of well-controlled distortions on a simple aluminum bar have been successfully reconstructed. This optical sensor is part of a global project for the development of a device for active distortion compensation on electronically steered radar antennas.     

光纤环形数模混合局域网

本文介绍一种价格低廉的数模混合光纤环形综合业务局域网。我们将统一的光纤网分解为数字数据传输子网和模拟电视传输子网两部分。数字子网速率为20Mb/s,采用报文分组交换和令牌环介质访问方式。模拟子网采用副载波多路复用传输多路电视信号和频道分配交换方式。模拟网的交换功能受数字网控制,使网络的构成简化并降低了成本。     

光计算机的开拓现状与未来

光计算机在目前虽然仍是个尚未解决的十大科学问题之一,然而.到21世纪光信息处理技术将遍及各个领域,光计算机对人类贡献之大将无与伦比.因此,开拓光计算机已是大势所趋,刻不容缓.本文评述光计算机及其相关技术的发展现状.展望开拓光计算机技术的深远意义与美好前景.     

一种适合于光学实现的洗牌型2D全互连多层神经网络模型

提出一种适合于光学实现的洗牌型二维全互连多层神经网络模型。该模型采用神经元的层内局部互连通过层间洗牌级联构成洗牌型神经网络模型的拓扑结构,具有很高的神经元／权重比,可以极大地压缩神经网络的互连权矩阵ＩＷＭ（Ｉｎｔｅｒｃｏｎｎｅｃｔｉｏｎ Ｗｅｉｇｈｔ Ｍａｔｒｉｘ）。推导出适合于洗牌型神经网络模型的修正ＢＰ算法,分析了网络的收敛性、容错性和反馈机制。计算机模拟结果表明,该模型具有稳定性好、收敛快、容错性高等特点。该模型结构整齐、简单,十分适合于神经网络算法的并行化以及光学实现。     

基于本征和非本征正则项的光流估计

针对光流约束的孔径问题,结合本征和非本征两种正则化处理提出一种自适应光流估计方法.详细讨论了光流估计模型、Euler-Lagrange方程和时空导数的计算等问题.实验结果表明了这种方法的有效性,与经典的Hom-Schunck和Nagel-Enkelmann方法相比,能够更好地保持光流场的不连续边缘,同时在图像平滑或少纹理区域自适应地减弱光流约束作用.     

分布式光纤温度传感器信号处理系统的研究

信号处理系统是分布式光纤温度传感器的重要组成部分，它的研究和设计对降低探测器和放大器的输出噪声，提高传感器的时间分辨率和温度分辨率有重要的意义。本文从提高时间分辨率的角度介绍了传感器对信号处理系统的要求，提出并行取样积分器方案及其所能达到的时间分辨率；介绍了由此而建立的信号处理系统。     

An Analog Integrated Circuit for Continuous-Time Gain and Offset Calibration of Sensor Arrays

Parameter variations cause unavoidable nonuniformitiesin Infra-Red Focal Plane Arrays and other integrated sensors.Since these nonuniformities change slowly with time, calibratingsensors one-time only is not suitable-much more frequentcalibration is required. We have developed an algorithm thatcontinually calibrates an array of sensors that contain gainand offset variations. This algorithm has been mapped to analoghardware and designed and fabricated with a 2um CMOS technology.Measured results from the chip show that the system achievesinvariance to gain and offset variations of the input signal.     

A Novel Integrated Multistage 2-D MEMS Optical Switch With Spanke–Benes Architecture

Due to the emergence of high-capacity wavelength-division multiplexing transmission systems, new optical cross-connect (OXC) architectures that make a large number of fiber/wavelength counts to switch the signal in the optical domain are needed. Optical microelectromechanical system (MEMS) switches are regarded as the most promising optical switch technology to achieve such functionalities. In this paper, we propose a novel integrated multistage two-dimensional (2-D) MEMS optical switch design with Spanke-Benes architecture and compare it with the conventional crossbar architecture, the L-switching architecture, and Shuffle-Benes architecture. Our proposed architecture is very suitable for building large-port-count 2-D MEMS switches and achieves much better performance in terms of beam divergence loss, longest optical path, mirror radius, substrate size, port-to-port repeatability, and power consumption than the other three architectures. Furthermore, compared with the 2-D conventional crossbar switch commercially available now, the proposed architecture can save 50% mirrors, shorten 87.5% longest optical path, minify 65% mirror radius, and shrink 90% substrate size.     

集成光纤束并行共焦测量

为了克服单点扫描共焦测量中速度慢、机构复杂的不足，基于并行共焦测量的思想，利用集成光纤束器件实现光束分割，同时起到共焦测量中针孔的作用。在此基础上设计了基于该器件的一套并行共焦测量系统。系统中还采用了专门设计的棱镜将光源与信号光分离。给出了系统的测量原理，说明系统具有结构简单，信噪比高等特点。初步实验表明了该系统的可行性。     

用于测量工频强电场的集成光学电场传感器

针对工频强电场测量的特点,研究了用于测量高压工频电场的集成光学电场传感器。分析了集成光学电场传感器的工作原理,以及电场传感系统的输入输出性能。设计并实现了工频电场的测量校准装置,对从100V/m到2500V/m的工频电场进行了测量。测量结果表明,这种集成光学电场传感器适合于高压工频电场的测量。     

智能光网中的联合路由

在IP/MPLS智能光网络中的LSP路由分为独立路由和联合路由两类。由于综合考虑了光层和IP层的可用资源信息和拓扑信息,联合路由能够提供比独立路由方案更高的资源利用率。文中提出了联合路由算法的设计目标,综述了联合路由算法的研究现状,并给出了下一步的研究方向。     

融合的高效能T比特光传送方案

在介绍下一代骨干网络要求的基础上,从全光网络技术、下一代T比特ODU交叉网络、OTN汇聚等方面介绍了融合的T比特传送网络基于零接触技术的可管理光传送平台.     

2—D Fourier Transform Method for Optical Measurement of 3—D Surface

A emthod of 2-D Fourier transform used in 3-D surface profilometry is proposed,analyzed and compared with 1-D Fourier transform method in theory and practical measuring result.It was proved that the 2-D Fourier transform method has more advantages over 1-D Fourier transform methodd in biggest crook-rate limits,accuracy and sensitivity of measuring.Styudy on measuring object surface details with large crook-rate changing accurately used new higher-power index low-pass filter of spatial frequency domain.A new method of automatic produced reference grating image and error-correcting is proposed.One undeform row of deform grating image is used to extend a complete reference grating image,and some error-correcting method is used to process the result to get accurate surface shape and the deflection of reference surface normal line deviated from the axle of camera.By this new method,one deform rectangle grating image is only used to get the 3-D shape accurately.     

On the Computation of Optical Flow using the 3-D Gabor Transform

The motion of brightness patterns in an image sequence (optical flow) is most intuitively considered as a spatiotemporal phenomenon. It has been shown, however, that motion has a characteristic signature in the spatiotemporal-frequency (Fourier) domain. This fact can be exploited for the computation of optical flow. However, for cases which involve a number of regions in a sequence with different motions, as in scenes with one or more objects moving against a stationary or moving background, the global nature of the Fourier transform makes it unsuitable for this task. The signatures of the different motions cannot be resolved in the Fourier domain, nor associated with their respective regions in the image sequence. Local frequency representations provide a means to address this problem. In this paper, we consider the application of a 3-D version of the widely used Gabor transform to the computation of optical flow.     

二维正交子波变换的VLSI并行计算

本文提出一个二维离散正交子波变换的ＶＬＳＩ并行结构，该结构将二维输入信号分解成不重叠的若干行组，从而使每组中的所有行被并行处理，而不同组的行的处理、不同级上的计算，以至不同信号的计算可以在此结构上流水线地进行。