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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Young-Seog Song Yong Hoon Lee Signal Processing Laboratory Samsung Advanced Institute of Science and Technology South Korea Department of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

Branch-and-bound algorithm is applied to the design of sparse FIR filters having intentionally zeroed tap positions. It is shown that this algorithm coupled with a suitable optimization technique for filter design can lead to an optimal sparse FIR filter satisfying given specifications. Design examples demonstrate that the proposed method requires less computation than the conventional optimization such as the subset selection method.

关键词： Finite impulse response filter Algorithm design and analysis signal processing algorithms Design optimization Integer linear programming Design methodology signal design Delay Narrowband Wideband

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Neural network-based cloud classification on satellite imagery using textural features

Neural network-based cloud classification on satellite image...

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IEEE International Conference on Image processing

作者： Bin Tian M.R. Azimi-Sadjadi T.H.V. Haar D. Reinke Department of Electrical Engineering Signal and Image Processing Laboratory Fort Collins CO USA Cooperative Institute for Research in the Atmosphere Colorado State University Fort Collins CO USA

Automatic cloud classification of satellite imagery can be of great help to meteorological studies. A neural network-based cloud classification system is developed and introduced. Several image transformation schemes such as wavelet transform (WT) and singular value decomposition (SVD) are used to extract the salient textural feature of the data and is then compared with those of the well-known gray-level co-occurrence matrix (GLCM) approach. Two different neural network paradigms namely the probability neural network (PNN) and the unsupervised Kohonen (1990) self-organized feature map (SOM) are chosen and examined. The performance of the proposed cloud classification system is benchmarked on the Geostationary Operational Environmental Satellite (GOES) 8 data set and promising results have been achieved.

关键词： Clouds Satellites Neural networks Feature extraction Wavelet transforms Data mining Meteorology Singular value decomposition Image analysis Robustness

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A modified fixed-point computational gradient descent Gray-Markel notch filter method for sinusoidal detection and attenuation

A modified fixed-point computational gradient descent Gray-M...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K.E. Nelson P.-V.N. Dao M.A. Soderstrand S.A. White J.P. Woodard Electrical and Computer Engineering Department University of California Davis CA USA Signal Processing and Controls Engineering Corporation San Clemente CA USA White Eagle Research Rancho Santa Margarita CA USA

A Gray-Markel notch filter is used to track and significantly attenuate a narrow-band interference whose frequency drifts slowly with time. The novel feature is the use of a bandpass filter to isolate the range of frequencies over which the adaptive hardware responds and the use of a simple FIR filter to carry out the adaptation with the more complex IIR Gray-Markel notch filter slaved to the simple FIR filter. This method results in the ability to track a slow moving narrowband interference over a band of frequencies and attenuate the signal due to the interference sufficiently to allow high precision signal processing on the remaining data with little phase distortion to the data. Furthermore, an adequate implementation of the adaptive Gray-Markel notch filter can be achieved with a modest 24-bit integer hardware implementation.

关键词： Finite impulse response filter Band pass filters Interference Frequency Narrowband Hardware Adaptive filters IIR filters signal processing Adaptive signal processing

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A novel fully programmable switched-current IIR filter

A novel fully programmable switched-current IIR filter

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Custom Integrated Circuits Conference (CICC)

作者： M. Omair Ahmad Shenghong Wang Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada Philips Research Philips Electronics North America Corporation Briarcliff Manor NY USA

A fully programmable switched-current IIR filter using switched-current delay-multiplies units is described. The characteristics of the filter are fully programmable by simply changing the ratios of the coefficient transistors. To reduce the effect of non-ideal characteristics of MOS transistors, a high-performance differential switched-current memory cell is used as a basic building block. To reduce the chip area and maintain the required accuracy of the coefficients, an array consisting of three different sizes of transistors is designed instead of using a unit transistor array as coefficient transistors. A prototype second-order switched-current IIR filter array which consists of six second-order switched-current IIR filters has been fabricated with the standard 1.2 /spl mu/m CMOS process technology. Hard wiring technique is used for programming the filters. The test results show that the characteristics of the filters satisfy the design requirements.

关键词： IIR filters Circuits Delay Digital filters Communication switching MOSFETs Prototypes CMOS process CMOS technology Wiring

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A simulator construction methodology for the Shiva multiprocessor system

A simulator construction methodology for the Shiva multiproc...

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IEEE International Conference on Algorithms and Architectures for Parallel processing (ICAP)

作者： S. Slomka K.F. Sterzl V. Lakshmi Narasimhan The Speech Research Laboratory Signal Processing Research Center Queensland University of Technology Brisbane QLD Australia The PA SE Research Laboratory Department of Electrical and Computer Engineering University of Queensland Saint Lucia QLD Australia Information Management Group ITD DSTO Salisbury SA Australia

This paper describes a simulator for the Shiva multiprocessor system and the simulator construction methodology (SCM) used in its creation. The SCM, based on the active functional unit (AFU) construct, is a modern SCM which is flexible, accurate, fast, easy to use, capable of dynamic reconfigurability at run-time, and most of all simple and capable of quick simulator construction. The AFU SCM is capable of all these things through the use of object-oriented software techniques. The Shiva simulator constructed using the AFU SCM is program-driven and capable of micro and macro architectural simulation.

关键词： Multiprocessing systems Computational modeling Object oriented modeling signal generators Laboratories computer simulation Discrete event simulation Speech processing signal processing Information management

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What MPEG-4 means to me

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signal processing-IMAGE COMMUNICATION 1997年第4期9卷 473-473页

作者： Kunt, M Signal Processing Laboratory Department of Electrical Engineering Swiss Federal Institute of Technology CH-1015 Lausanne Switzerland Tel: +41 21 693 26 26 fax: +41 21 693 26 03

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Three-dimensional analytical and numerical solutions for acousto-optic interaction

Three-dimensional analytical and numerical solutions for aco...

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Southeastern Symposium on System Theory

作者： D.B. Dunn M. McNeill Jiangang Xia Ting-Chung Poon P.P. Banerjee Optical Image Processing Laboratory The Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University VA USA Department of Elec. Engineering Bucknell University USA York University Canada Center for Applied Optics Department of Electrical and Computer Engineering University of Alabama Huntsville Huntsville AL USA

The authors present an analytical solution to the strong acousto-optic interaction problem in three dimensions. They then compare the analytical results to a split-step numerical algorithm. The algorithm is based on t... 详细信息

关键词： Optical propagation Acoustic beams Transfer functions Diffraction Acoustic propagation USA Councils Gratings Image analysis Image processing Laboratories

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Performance analysis of reduced-rank STAP

Performance analysis of reduced-rank STAP

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IEEE National Conference on Radar

作者： A.M. Haimovich C. Peckham T. Ayoub J.S. Goldstein I.S. Reed Electrical and Computer Engineering. Department New Jersey Institute of Technology University Heights Newark NJ USA Space Communications Branch USAF Rome Laboratory Rome NY USA Statistical Signal & Image Proc. Laboratory Department of Electrical Engineering University of Southern California Los Angeles CA USA

The space-time radar problem is well suited to the application of techniques that take advantage of the low-rank property of the space-time covariance matrix. In particular, it was shown that when the space-time covariance matrix is estimated from a dataset with limited support, reduced-rank methods outperform full-rank space-time adaptive processing (STAP). We study the application of several reduced-rank methods to the STAP problem and demonstrate their utility by simulations in terms of the output signal-to-noise ratio and detection probability. It is shown that reduced-rank processing has two opposite effects on the performance: increased statistical stability which tends to improve performance, and introduction of a bias which lowers the signal-to-noise ratio. Several reduced-rank methods are analyzed and compared for both cases of known and unknown covariance matrix. While the best performance is obtained using transforms based on the eigendecomposition (data dependent), the loss incurred by the application of fixed transforms (such as the discrete cosine transform) is relatively small. The main advantage of fixed transforms is the availability of efficient computational procedures for their implementation. These findings suggest that reduced-rank methods could facilitate the development of practical, real-time STAP technology.

关键词： Performance analysis Covariance matrix Discrete transforms signal to noise ratio Radar applications Spaceborne radar Probability Stability Performance loss Discrete cosine transforms

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Approximate signal processing

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Journal of VLSI signal processing Systems for signal, Image, and Video Technology 1997年第1-2期15卷 177-200页

作者： Nawab, S. Hamid Oppenheim, Alan V. Chandrakasan, Anantha P. Winograd, Joseph M. Ludwig, Jeffrey T. ECE Department Boston University Boston MA 02215 44 Cummington St. United States EECS Department Massachusetts Inst. of Technology Cambridge MA 02139 77 Massachusetts Ave. United States Massachusetts Inst. of Technology United States Dept. of Elec. and Comp. Engineering Boston University United States MIT University of Massachusetts Amherst MA United States IEEE Signal Processing Society United States Boston University United States Tel Aviv University Israel MIT Lincoln Laboratory Woods Hole Oceanographic Institution United States National Academy of Engineering University of California Berkeley CA United States Department of Electrical Engineering Massachusetts Inst. of Technology Cambridge MA United States Faculty Development Award IEEE Communications Society Japan Georgia Institute of Technology United States Ocean Technology Inc. Burbank CA United States Digital Signal Processing Group Research Laboratory of Electronics MIT United States

It is increasingly important to structure signal processing algorithms and systems to allow for trading off between the accuracy of results and the utilization of resources in their implementation. In any particular context, there are typically a variety of heuristic approaches to managing these tradeoffs. One of the objectives of this paper is to suggest that there is the potential for developing a more formal approach, including utilizing current research in computer Science on Approximate processing and one of its central concepts, Incremental Refinement. Toward this end, we first summarize a number of ideas and approaches to approximate processing as currently being formulated in the computer science community. We then present four examples of signal processing algorithms/systems that are structured with these goals in mind. These examples may be viewed as partial inroads toward the ultimate objective of developing, within the context of signal processing design and implementation, a more general and rigorous framework for utilizing and expanding upon approximate processing concepts and methodologies.

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Real-time image processing using cascaded acousto-optic modulators

Real-time image processing using cascaded acousto-optic modu...

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IEEE Southeastcon

作者： D.B. Dunn Jiangang Xia Ting-Chung Poon P.P. Banerjee Optical Image Processing Laboratory The Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University VA USA Virginia Polytechnic Institute and State University Blacksburg VA US Center for Applied Optics Department of Electrical and Computer Engineering University of Alabama Huntsville Huntsville AL USA

We present a novel and simple cascaded acousto-optic image processing system to perform image processing. The system consists of two imaging lenses and two acousto-optic modulators that are placed in series. Real time image processing is achieved by Bragg diffraction. computer simulation is given and compared to an optical image processing system which uses a single acousto-optic modulator.

关键词： Image processing Optical imaging Lenses Optical modulation Fourier transforms Transfer functions Equations Laboratories computer simulation Acoustic beams

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