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International Conference on Universal Personal Communications

作者： L.P. Sabel Defense Communications Research Centre Signal Processing Research Institute University of South Australia Ingle Farm SA Australia Communications Division Electronics Research Laboratory Defence Science and Technology Organisation SA Australia

Due to their rapid acquisition performance, feedforward symbol timing estimation techniques are advantageous in digital demodulators used for packet based communications systems and communications systems which suffer from fading phenomena. When feedforward symbol timing estimation is used in a demodulator which is implemented using digital techniques, feedforward interpolation is required to re-sample the received signal at the estimated location of the symbol centre. This paper presents results on the effect of the performance of the interpolator, or fractional sample delayer, on the bit error rate (BER) of the digital demodulator. Emphasis is placed on the effect of finite precision arithmetic. Results are presented which describe the effects of the quantiser transfer function and the number of bits used to represent the signal and filter tap values.< >

关键词： Bit error rate Demodulation Finite impulse response filter Timing Interpolation Digital signal processing Digital filters Modems Feedback Quantization

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Adaptive multiple-input constrained pel-recursive displacement estimation

Adaptive multiple-input constrained pel-recursive displaceme...

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1992 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 1992

作者： Efstratiadis, Serafim N. Katsaggelos, Aggelos K. Signal Processing Laboratory Swiss Federal Institute of Technology LausanneCH-1015 Switzerland Northwestern University Dept. of EECS McCormick School of Engineering and Applied Science EvanstonIL60208-3118 United States

ISBN: (纸本)0780305329

In this paper, an adaptive multiple-input pel-recursive displacement estimation algorithm is presented. The displacement vector field (DVF) is estimated by minimizing the linearized displaced frame difference (DFD) using v submasks of causal mask around the working point. Then, v corresponding systems of equations are formed and the set theoretic regularization approach that is followed results in a weighted constrained least-squares estimation of the DVF by using information about the variance of the linearization error (noise) and the solution. The prior information about the solution is incorporated into the algorithm using a causal "oriented smoothness" constraint (OSC) which also provides a spatial prediction model for the estimated DVF. The improved performance of the proposed algorithm with respect to accuracy, robustness to occlusion and smoothness of the estimated DVF is demonstrated. © 1992 IEEE.

关键词： Linearization

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High-speed VLSI pipelined processor design for lossless image data compression 6

High-speed VLSI pipelined processor design for lossless imag...

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6th IEEE Workshop on VLSI signal processing

作者： Fang, Wai-Chi Sheu, Bing J. Radar Science and Engineering Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109-8099 United States Signal and Image Processing Institute Department of Electrical Engineering University of Southern California Los AngelesCA90089-0271 United States

ISBN: (纸本)0780308115

An efficient VLSI pipelined processor design for high-speed lossless compression based on "Rice algorithm" has been developed to meet the increasing strong demands on high-volume/high-speed image data communication and storage. The Rice algorithm is an adaptive lossless coding scheme that provides near-optimal performance over a broad range of data entropies. The Rice algorithm is also an efficiently implementable scheme for VLSI realization. A VLSI pipelined architecture was developed to allow compact implementation of a single-chip VLSI compressor. This lossless compressor is named PSI14,K+ since it implements an advanced version of the Rice's universal noiseless coding method called PSI14,K+. The chip layout was generated for a 1.0- micron CMOS technology. It occupies a compact chip area of 5.1 × 5.3 mm2, with 49,000 transistors, 57 input/output pads, and 6 power/ground pads. The total power dissipation is 0.4 watts at the 40 MHz system clock with a 50% switching duty cycle. This compressor chip is mounted in a 68-pin pin-grid-array package. It can operate up to 40 Mpixels/sec. The potential applications of the proposed lossless compressor include database management systems, scientific instruments, CAE workstations, desktop computing machines, and the data systems that require highspeed compression without fidelity loss. © 1992 IEEE.

关键词： Compressors

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Adaptive multiple-input constrained pel-recursive displacement estimation

Adaptive multiple-input constrained pel-recursive displaceme...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： S.N. Efstratiadis A.K. Katsaggelos Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland Department of EECS McCormick School of Engineering and Applied Science Northwestern University Evanston IL USA

An adaptive multiple-input pel-recursive algorithm is presented. The displacement vector field (DVF) is estimated by minimizing the linearized displaced frame difference (DFD) using nu submasks of causal mask around the working point. Then, nu corresponding systems of equations are formed and the set theoretic regularization approach results in a weighted constrained least-squares estimation of the DVF by using information about the variance of the linearization error (noise) and the solution. The prior information about the solution is incorporated into the algorithm using a causal oriented smoothness constraint (OSC), which also provides a spatial prediction model for the estimated DVF. The improved performance of the proposed algorithm with respect to accuracy, robustness to occlusion, and smoothness of the estimated DVF is demonstrated.< >

关键词： Stochastic processes Predictive models Noise robustness Motion estimation Optical filters Design for disassembly Laboratories Equations Constraint theory Tracking

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Well-Conditioned Recursive Least-Squared Estimation Algorithms

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IFAC Proceedings Volumes 1992年第14期25卷 453-458页

作者： K.V. Lever Electronics Research Laboratory Defence Science and Technology Organisation P.O. Box 1500 Salisbury South Australia 5108 Australia Signal Processing Research Institute University of South Australia Levels Campus South Australia 5095 Australia

This paper explains the inadequacies due to ill-conditioning of classical recursive least squares signal estimation algorithms based on Taylor series expansions, then shows how the algorithms may be restructured using orthogonal expansions, at little cost in extra complexity, to provide well-conditioned versions suitable for implementation in a variety of digital signal processing applications. Several open questions are posed, mainly connected with the incorporation of signal windowing to provide smoothing filters.

关键词： Least-squares estimation recursive algorithms well-conditioning

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High-speed Vlsi pipelined Processor Design For Lossless Image Data Compression

High-speed Vlsi pipelined Processor Design For Lossless Imag...

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Workshop on VLSI signal processing

作者： Wai-Chi Fang Bing J. Sheu Radar Science & Engineering Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA Signal & Image Processing Institute Department of Electrical Engineering University of Southern California Los Angeles CA USA

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IMAGE SEQUENCE CODING BY SPLIT AND MERGE

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IEEE TRANSACTIONS ON COMMUNICATIONS 1991年第12期39卷 1845-1855页

作者： WILLEMIN, P REED, TR KUNT, M Signal and Image Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland Department of Electrical Engineering and Computer Science University of California Davis CA USA

This paper describes a method for reducing the information contained in an image sequence, while retaining the information necessary for the interpretation of the sequence by a human observer. The method consists of first locating the redundant information, reducing the degree of redundancy, and coding the result. The sequence is treated as a single 3-D data volume, the voxels of which are grouped into several regions, obtained by a 3-D split and merge algorithm. To find these regions, we first obtain an initial region space by splitting the image sequence until the gray-level variation over each region can be approximated by a 3-D polynomial, to a specified accuracy. This results in a set of parallelepipedic regions of various sizes. To represent the gray-level variation over these regions, the coefficients of the approximating polynomial are used as features. The most similar regions are then merged, using a region adjacency graph. The information is coded by representing the borders of the regions using a pyramidal structure in the x, y, t space. The coefficients of the approximating polynomials are coded in a straightforward manner. For 256 x 256 pixel, 25 frames/s image sequences, compressions allowing transmission rates near 64 kbit/s are obtained.

关键词： Image sequences Image coding Pixel Bandwidth Layout Polynomials Image segmentation Humans Helium ISDN

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Convergence behavior and convergence rates of stack filters

Convergence behavior and convergence rates of stack filters

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M. Gabbouj P.-T. Yu E.J. Coyle Signal Processing Laboratory Tampere University of Technology Tampere Finland Institute of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan School of Electrical Engineering Purdue University West Lafayette IN USA

The convergence behavior of type-0 through type-3 stack filters is investigated. It is shown that stack filters of type-0 through type-2 all possess the convergence property; that is, they filter any input signal to a root after consecutive passes of the filter under any appending strategy. A counterexample is given to show that not all type-3 stack filters have this convergence property. The rate of convergence for convergent stack filters is also shown. It is shown that stack filters of type-0 will take at most a single pass to filter any input signal to a root. The rate of convergence of type-1 and type-2 stack filters is shown to be linear in the length of the input signal.< >

关键词： Convergence Filters Boolean functions signal processing Laboratories Computer science Shape Filtering theory Design methodology signal design

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FULL-WAVE SOLUTION OF DIELECTRIC LOADED WAVE-GUIDES AND SHIELDED MICROSTRIPS UTILIZING FINITE-DIFFERENCE AND THE CONJUGATE-GRADIENT METHOD

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INTERNATIONAL JOURNAL OF MICROWAVE AND MILLIMETER-WAVE COMPUTER-AIDED ENGINEERING 1991年第4期1卷 346-357页

作者： NARAYANAN, V MANELA, M LADE, RK SARKAR, TK Department of Electrical and Computer Engineering Syracuse University Syracuse New York 13244-1240 Viswanathan Narayanan was born in Bangalore India on December 14 1965. He received the BE degree in Electronics and Communications from B.M.S. College of Engineering Bangalore in 1988. He joined the Department of Electrical Engineering at Syracuse University for his graduate studies in 1989 where he is currently a research assistant. His research interests are in microwave measurements numerical electromagnetics and signal processing. Biographies and photos are not available for M. Manela and R. K. Lade. Tapan K. Sarkar (Sf69-M'76-SM'X1) was born in Calcutta. India on August 2 1948. He received the BTech degree from the Indian Institute of Technology Kharagpur India in 1969 the MScE degree from the University of New Brunswick Fredericton Canada in 1971. and the MS and PhD degrees from Syracuse University. Syracuse NY in 1975. From 1975-1976 he was with the TACO Division of the General Instruments Corporation. He was with the Rochester Institute of Technology (Rochester NY) from 1976-1985. He was a Research Fellow at the Gordon Mckay Laboratory Harvard University Cambridge MA from 1977 to 1978. He is now a Professor in the Department of Electrical and Computer Engineering Syracuse University. His current research interests deal with numerical solutions of operator equations arising in electromagnetics and signal processing with application to system design. He obtained one of the “ best solution” awards in May 1977 at the Rome Air Development Center (RADC) Spectral Estimation Workshop. He has authored or coauthored more than 154 journal articles and conference papers and has written chapters in eight books. Dr. Sarkar is a registered professional engineer in the state of New York. He received the Best Paper Award of the IEEE Transactions on Electromagnetic Compatibility in 1979. He was an Associate Editor for feature articles of the lEEE Antennas arid Propagation Sociefy Newsletter and was

Dynamic analysis of waveguide structures containing dielectric and metal strips is presented. The analysis utilizes a finite difference frequency domain procedure to reduce the problem to a symmetric matrix eigenvalue problem. Since the matrix is also sparse, the eigenvalue problem can be solved quickly and efficiently using the conjugate gradient method resulting in considerable savings in computer storage and time. Comparison is made with the analytical solution for the loaded dielectric waveguide case. For the microstrip case, we get both waveguide modes and quasi-TEM modes. The quasi-TEM modes in the limit of zero frequency are checked with the static analysis which also uses finite difference. Some of the quasi-TEM modes are spurious. This article describes their origin and discusses how to eliminate them. Numerical results are presented to illustrate the principles.

关键词： Waveguides

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Visual Informatics: Bridging Research and Practice 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Halimah Badioze Zaman Peter Robinson Maria Petrou Patrick Olivier Heiko Schröder Timothy K. Shih

ISBN: (数字)9783642050367

ISBN: (纸本)9783642050350

Visual informatics is a field of interest not just among the information technology and computer science community, but also other related fields such as engineering, me- cal and health informatics and education starting in the early 1990s. Recently, the field is gaining more attention from researchers and industry. It has become a mul- disciplinary and trans-disciplinary field related to research areas such as computer vision, visualization, information visualization, real-time image processing, medical image processing, image information retrieval, virtual reality, augmented reality, - pressive visual mathematics, 3D graphics, multimedia-fusion, visual data mining, visual ontology, as well as services and visual culture. Various efforts has been - vested in different research, but operationally, many of these systems are not pro- nent in the mass market and thus knowledge and research on these phenomena within the mentioned areas need to be shared and disseminated. It is for this reason that the Visual Informatics Research Group from Universiti - bangsaan Malaysia (UKM) decided to spearhead this initiative to bring together experts in this very diversified but important research area so that more concerted efforts can be undertaken not just within the visual informatics community in Malaysia but from other parts of the world, namely, Asia, Europe, Oceania, and USA. This first International Visual Informatics Conference (IVIC 2009) was conducted collaboratively, by the visual informatics research community from the various public and private institutions of higher learning in Malaysia, and hosted by UKM.

关键词： Image processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity User Interfaces and Human Computer Interaction

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