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IEEE Workshop on Neural Networks for signal processing

作者： M.J. LeBlanc E. Manolakos Fault-Tolerant Systems Division The Charles Stark Draper Laboratory Inc. Cambridge MA USA Communications and Digital Signal Processing Center of Research and Graduate Studies Electrical & Computer Engineering Department Northeastern University Boston MA USA

The goal of this research is to develop a multi-layer feedforward neural network architecture which can distinguish targets (in this case, mines) from background clutter in sidescan sonar images. The network is to be implemented on a hardware neurocomputer currently in development at CSDL, with the goal of eventual real-time performance in the field. A variety of neural network architectures are developed, simulated, and evaluated in an attempt to find the best approach for this particular application. It has been found that classical statistical feature extraction is outperformed by a much less computationally expensive approach that simultaneously compresses and filters the raw data by taking a simple mean.< >

关键词： Neural networks Sonar detection Object detection Multi-layer neural network Feedforward neural networks Neural network hardware computer architecture Computational modeling Feature extraction Filters

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General criterion for the absence of limit cycles in filter structures with a single quantizer

General criterion for the absence of limit cycles in filter ...

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

作者： T. Laasko P.S.R. Diniz I. Hartimo Lab. of Signal Process. & Comput. Technol. Helsinki Univ. of Technol. Espoo Finland Department of Electrical Engineering Federal University of Rio de Janeiro (COPPE-EE) Rio de Janeiro Brazil Laboratory of Signal Processing and Computer Technology Helsinki University of Technology Espoo Finland

A criterion for the absence of zero-input limit cycles in recursive digital filter structures that can be implemented with a single quantizer in the recursive loop is presented. The criterion can be applied with a rounding or with a magnitude truncation quantizer and accounts for the use of error feedback as well. Additionally, a criterion for the elimination of constant-input limit cycles is formulated. The criteria are applied to several well-known filter structures. Since most of the structures have previously been analyzed in a multiquantizer implementation only, new results on their stability properties in the single-quantizer configuration are obtained.< >

关键词： Limit-cycles Digital filters Feedback Quantization Finite impulse response filter Transfer functions Stability analysis Lattices Steady-state Noise reduction

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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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DESIGN OF LINEAR-PHASE FIR NOTCH FILTERS

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SADHANA-ACADEMY PROCEEDINGS IN engineering SCIENCES 1990年第3期15卷 133-155页

作者： YU, TH MITRA, SK BABIC, H Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California at Santa Barbara Santa Barbara USA Electrotechnical Faculty University of Zagreb Zagreb Yugoslavia

This paper investigates some approaches for designing one-dimensional linear phase finite-duration impulse-responses (FIR) notch filters, which are based on the modification of several established design techniques of linear phase FIR band-selective filters. Based on extensive design examples and theoretical analysis, formulae have been developed for estimating the length of a linear phase FIR notch filter meeting the given specifications. In addition, the design of two-dimensional linear phase FIR notch filters is briefly considered. Illustrative examples are included.

关键词： FIR DIGITAL FILTER DIGITAL FILTER DESIGN DIGITAL NOTCH FILTER

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A systolic algorithm for adaptive set membership identification

A systolic algorithm for adaptive set membership identificat...

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

作者： S.F. Odeh J.R. Deller Department of Electrical Engineering / 260 EB Control Systems and Signal Processing Group Speech Processing Laboratory East Lansing MI USA

An adaptive set membership identification algorithm with a very flexible forgetting scheme is presented. In preliminary experiments, the method yields highly accurate estimates using very few of the data, and quickly adapts to fast-changing dynamics. A compact systolic architecture to implement this algorithm is developed which uses O(m) cells and reduces the computational complexity to O(m) operations per observation, where m represents the number of parameters to be estimated in a linear system or signal model.< >

关键词： Yield estimation computer architecture Computational complexity Parameter estimation Linear systems

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Toward the use of set-membership identification in efficient training of feedforward neural networks

Toward the use of set-membership identification in efficient...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J.R. Deller Control Systems and Signal Processing Research Group: Speech Processing Laboratory Department of Electrical Engineering Michigan State University East Lansing MI USA

The application of the theory of set-membership identification to the development of efficient learning algorithms for neural networks is discussed. Some results relevant to the application of the method to nonlinear feedforward networks are presented. The techniques discussed have the potential to significantly improve the efficiency of teaching neural networks by employing novel data selection criteria based on set-theoretic constraints.< >

关键词： Intelligent networks Neural networks Feedforward neural networks Samarium Vectors signal processing signal processing algorithms Training data Control systems speech processing

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Detail-preserving impulse noise removal of images using modified dynamic programming

Detail-preserving impulse noise removal of images using modi...

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

作者： Tian-Hu Yu S.K. Mitra Department of Electrical and Computer Engineering Signal and Image Processing Laboratory University of California Santa Barbara CA USA

An algorithm that removes impulse noise in images using a modified dynamic programming method is outlined. The restoration process combines two operations. In the first operation, the pixels corrupted by impulse noise are detected by a dynamic programming based searching strategy. In the second operation, the original gray levels of the noisy pixels are estimated by a linear interpolation or extrapolation approach. A separable process is used to detect the noisy pixels of the images. In order to preserve the details of the images and reduce the computational complexity of conventional dynamic programming, two modifications have been developed. One is called neighborhood searching with an adaptive figure of merit and the other is called overlapping block processing. The actual performance of the proposed technique is compared with that of the commonly used median filter by filtering noise-corrupted images. Some computational considerations are also discussed.< >

关键词： Dynamic programming Image restoration Noise level Interpolation Extrapolation Pixel Computational complexity Filters Filtering

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'Quantized' hidden Markov models for efficient recognition of cerebral palsy speech

'Quantized' hidden Markov models for efficient recognition o...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J.R. Deller R.K. Snider Control Systems and Signal Proceesing Research Group: Speech Processing Laboratory Department of Electrical Engineering Michigan State University East Lansing MI USA

A procedure for evaluating the likelihood of a hidden Markov model using only O(N/K) floating-point operations per observation is developed where N is the number of states in the model and K is a large integer. Experimental tests show that effective recognition of cerebral palsy speech requires highly connected models so that O(3N) to O(N/sup 2/) operations are necessary using conventional algorithms. The reduction in computational complexity is required for near-real-time recognition algorithms to be feasible on ordinary personal computers.< >

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Stability, projection, and convergence of SMM for insufficient order adaptive IIR filters

Stability, projection, and convergence of SMM for insufficie...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M. Nayeri H. Fan Department of Electrical Engineering Adaptive Signal Processing Laboratory Michigan State University East Lansing MI USA Department of Electrical and Computer Engineering University of Cincinnati Cincinnati OH USA

The stability of the SMM (Steiglitz-McBride method) in the underparameterized case is studied. It is shown that the offline SMM can potentially produce intermediate unstable estimates. A projection technique is introduced and analytically shown to overcome such instability. The existence of multiple stable equilibria for the SMM in the underparametrized case is demonstrated.< >

关键词： Stability Convergence IIR filters Adaptive filters signal processing algorithms Iterative algorithms System identification Adaptive signal processing Filtering algorithms Postal services

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Digital processing of color images

Digital processing of color images

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Human Vision, Visual processing, and Digital Display 1989

作者： Mitra, Sanjit K. Zarrinnaal, Iraj Wang, Yao Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

Digital processing of black and white images has received most attention during the last 25 years, and has led to various algorithms for the enhancement, smoothing, and zooming of images. Due to the decreasing cost and increasing availability of color image acquisition and display equipment along with the computing systems of higher performance, it is expected that the digital processing of color images will rapidly grow in demand. In this paper we review our experiences with the processing of color images. In particular, algorithms for the contrast enhancement, smoothing and zooming of color images are investigated. The effects of applying these methods in color coordinates other than RGB are examined and considerations with respect to performance, time efficiency and compatibility with some popular algorithms developed for monochrome images are discussed. © 1989 SPIE. All rights reserved.

关键词： Color

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