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Convergence analysis for the extended-Kalman-filter based algorithm of target tracking and identification

Convergence analysis for the extended-Kalman-filter based al...

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Asilomar Conference on signals, Systems & computers

作者： D.S. Cheng A.R. Stubberud Center for High-speed Image/Signal Processing (CHIP) Department of Electrical and Computer Engineering University of California Irvine Irvine CA USA

The joint problem of target tracking and identification was discussed previously by the authors (1991), and a tracking/identification algorithm using an extended-Kalman-filter-based associative memory (EK-FAM) was demonstrated through several examples. The convergence properties of the algorithm are discussed. Under the appropriate conditions, a contraction operator can be developed, using Banach space concepts that guarantee convergence of the algorithm.< >

关键词： Convergence Algorithm design and analysis Target tracking signal processing algorithms Associative memory Functional analysis Vectors Eigenvalues and eigenfunctions Virtual manufacturing Jacobian matrices

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Target Tracking and Identification using Neural Networks and Associative Memories

Target Tracking and Identification using Neural Networks and...

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IJCNN International Joint Conference on Neural Networks

作者： Dan S.Cheng Allen R.Stubberud Center for High-Speed Image/Signal Processing（CHIP） Department of Electrical and Computer Engineering University of California Irvine IrvineCA 92717

＜正＞The joint problem of tracking and identification of a target from an airplane was discussed in[1].In this paper the problem is discussed using a different system structure which uses a neural *** assume that a set of targets are distinguishable where indistinguishability between any two targets implies that their feature vectors are *** associative memory,which is implemented with an artificial neural network in a feedback loop,is developed as an *** the associative memory is presented with a feature vector it recalls the corresponding *** mathematical concepts in Hilbert space show that perfect identification is possible by using such an identifier in the noise free *** estimate is used to identify correct targets when targets are subject to certain conditions of noise corruption of the feature *** can combine this identifier with a modified extended Kalman filter to solve the combined target tracking and identification *** result of this technique is promising,and fast identification is *** demonstrate this technique through an example.

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Optimal nonlinear pattern restoration from noisy binary figures

Optimal nonlinear pattern restoration from noisy binary figu...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： D. Schonfeld Signal and Image Research Laboratory Department of Electrical Engineering and Computer Science University of Illinois Chicago Chicago IL USA

A mathematical framework for the solution of statistical inference problems on a class of random sets is proposed. It is based on a new definition of expected pattern. The least-mean-difference estimator (restoration filter) is proved, under certain conditions, to be equivalent to the minimization of the measure of size (area) of the set-difference between the original pattern and the expected pattern of the estimated (restored) pattern. Consequently, it is proved that, under certain conditions, if the estimator (restoration filter) is unbiased, then it is the least mean difference estimator (restoration filter).< >

关键词： Noise figure image restoration Pattern analysis Filters Set theory signal restoration Laboratories Area measurement Size measurement Morphology

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Identifiability of a quadratic equations with unknown coefficients

Identifiability of a quadratic equations with unknown coeffi...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： L. Tong S. Yu R. Liu Department of Electrical and Computer Engineering West Virginia University Morgantown WV USA Laboratory for Image and Signal Analysis Department of Electrical Engineering University of Notre Dame Notre Dame IN USA

A set of simultaneous quadratic equations with unknown coefficients is considered. The motivation for studying the equations is presented. Indeterminacy and identifiability are considered. A main lemma and three theor... 详细信息

关键词： Equations Bismuth Laboratories image analysis signal analysis Array signal processing Blind equalizers Additive noise Statistics

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Limit cycles in floating-point implementations of recursive filters-a review

Limit cycles in floating-point implementations of recursive ...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： T.I. Laakso B. Zeng Laboratory of Signal Processing and Computer Technology Helsinki University of Technology Espoo Finland Department of Electrical Engineering University of Toronto Toronto ONT Canada

Results on limit cycle oscillations in floating-point implementations of recursive filters are reviewed. Special attention is paid to structures with a single floating-point nonlinearity in the recursive filter loop, for which efficient criteria are proposed to guarantee the absence of limit cycles. Both unlimited exponent range limit cycles and underflow limit cycles are considered. Also results on wave digital filters and related structures are discussed.< >

关键词： Limit-cycles Quantization Laboratories signal processing Digital filters Feedback loop Information analysis Information filtering Information filters Hardware

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Multiple branch FIR filters for sampling rate conversion

Multiple branch FIR filters for sampling rate conversion

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： T. Saramaki S.K. Mitra Signal Processing Laboratory Tampere University of Technology Tampere Finland Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

A class of linear-phase finite impulse response (FIR) digital filters for sampling rate conversion is introduced. These filters consist of two cascaded parts. The first part is a parallel connection of two or three branches with transfer function of the form A/sub k/(z)B/sub k/) (z/sup D/), where D is the sampling rate conversion ratio. The second part has a transfer function of the form C(z/sup D/). The advantage of these designs is that they provide a significant reduction in the multiplication and addition rates as well as in the number of required multipliers over the equivalent conventional direct-form designs also in cases where D is a prime number. In these cases, the sampling rate conversion cannot be performed in several stages and many of the other existing designs lose their advantages. Special multiplier-free solutions are generated for implementing the filters A/sub k/(z), resulting in dramatic savings. Several examples are included showing the efficiency of the proposed filters compared to other existing designs.< >

关键词： Finite impulse response filter Sampling methods Delay Passband Niobium USA Councils Baseband Shape Transfer functions Interpolation

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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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On empirical estimation of the parameters of edge enhancement filters

On empirical estimation of the parameters of edge enhancemen...

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IEEE International Conference on Systems, Man and Cybernetics

作者： A.A. Farag Y. Cao D.M. Rose E.J. Delp Engineering Mathematics & Computer Science Department Speed Scientific School University of Louisville Louisville KY USA Computer Vision & Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

The authors develop an empirical measure for the selection of the Gaussian filter that is commonly used for edge enhancement. The measure is based totally on the image at hand. Edge enhancement by a Gaussian filter has two distinct advantages: (1) the filter is fully described by a single parameter, the standard deviation sigma ; (2) the two-dimensional filter is separable and can be easily implemented. The filter's spatial support is a function of sigma . This support is normally in the range of +or-3.5 sigma . An empirical measure is described for the selection of the Gaussian filter's spatial support using the power spectrum density of the input image. Classic Fourier analysis is used to obtain a measure for the spatial support of the Gaussian filter given a particular image. Experimental results suggest that this measure can be used as an aid in deciding the Gaussian filter's spatial support needed to enhance the edges.< >

关键词： Parameter estimation Low pass filters image edge detection image segmentation Joining processes Smoothing methods Frequency estimation Density functional theory Shape Mathematics

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Further Studies on Frozen-Time Eigenvalues in the Stability Analysis for Periodic Linear Systems

Further Studies on Frozen-Time Eigenvalues in the Stability ...

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Southeastern Symposium on System Theory

作者： J. Zhu S. Ray S.K. Vemula Remote Sensing and Image Processing Laboratory Louisiana State University Baton Rouge LA USA Electrical and Computer Engineering Department Louisiana State University Baton Rouge LA USA

In this paper we present some enlightening results to show why and how stability assessment for Linear Time-Varying (LTV) systems based solely on the location of the "frozen-time eigenvalues (FTE)" fails to be sufficient or necessary, using two classes of parametrized periodic LTV systems derived from two examples given by Markus-Yamabe [6] and Wu [11]. Exact domain of stability in the parameter space obtained using analytical or numerical solutions of the Floquet characteristic Exponents are presented, and compared to that predicted by FTEs. The results are useful in the study of robustness and stabilization of Linear Time Invariant (LTI) systems, as will be shown in this paper that an unstable LTI system maybe stabilized or destabilized by periodic structural perturbations (pumping) without any control input.

关键词： Eigenvalues and eigenfunctions Stability analysis Linear systems Stability criteria Upper bound Robust stability Remote sensing image processing Laboratories Robust control

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A statistical approach to transmission image reconstruction from ring source calibration measurements in PET

A statistical approach to transmission image reconstruction ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： E. Mumcuoglu R. Leahy S. Cherry Signal and Image Processing Institute Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA Division of Nuclear Medicine and Biophysics School of Medicine and Laboratory of Nuclear Medicine University of California Los Angeles Los Angeles CA USA

The problem of reconstructing a transmission attenuation image is addressed. The estimation procedure is based on a Bayesian formulation incorporating a Poisson likelihood model that includes scatter for the transmission data and a Markov random field prior. The results obtained using this approach result in improved accuracy in computing the ACFs (attenuation correction factors). A transmission image is also useful for reconstructing anatomical landmarks for use in cross-modality registration. A third advantage of reconstruction of the transmission image is that, if the patient moves between the transmission and one or more emission scans, the reconstructed transmission image can be used to generate ACFs for any new position. Several candidate optimization techniques are investigated, and the quantitative accuracy of the reconstructed images is evaluated.< >

关键词： image reconstruction Calibration Scattering Positron emission tomography Attenuation Detectors Nuclear medicine Smoothing methods Bayesian methods Markov random fields

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