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Decorrelation algorithm for blind decision feedback equalizer with lattice structures

Decorrelation algorithm for blind decision feedback equalize...

引用

IEEE Digital signal processing Workshop

作者： A.J. Bateman Y. Bar-Ness R.E. Kamel Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology University Heights Newark NJ USA

A new algorithm was previously introduced for blind, adaptive equalization, known as the decorrelation algorithm. The algorithm is based on decorrelating the input to the decision or threshold device of a decision feedback equalizer to reduce the intersymbol interference at the equalizer's output. To increase the rate of convergence of this blind, adaptive, decision feedback equalizer, a fast Kalman structure was proposed, but not without a dramatic increase in complexity and limited numerical stability. In the present paper, more computationally efficient lattice-based structures are proposed. Using the decorrelation algorithm to control these structures, the authors maintain a high rate of convergence with better numerical stability in finite-precision environments.< >

关键词： Decorrelation Decision feedback equalizers Lattices signal processing algorithms Blind equalizers Kalman filters Resonance light scattering Intersymbol interference Convergence of numerical methods Numerical stability

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Evolutionary programming for fast and robust point pattern matching

Evolutionary programming for fast and robust point pattern m...

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International Joint Conference on Neural Networks (IJCNN)

作者： A. Agrawal N. Ansari E.S.H. Hou Center for Communications and Signal Processing Research Department of Electrical & Computer Engineering New Jersey Institute of Technology University Heights Newark NJ USA

Matching model point patterns to observed point patterns is of important concern in machine vision. Conventional search algorithms not only fail to arrive at the optimal match, but are computationally expensive, time consuming, and search the solution space sequentially. This paper presents a fast, inexpensive, algorithmically and operationally parallel evolutionary program (EP) for optimal point pattern matching based on a stochastic and heuristic optimisation framework. Novel, knowledge-based, genetic operators are defined and are dynamically controlled to achieve "fast fine tuning" and an optimal global search by efficiently combining the elements of "gradient descent" and "random search". The developed EP algorithm outperforms existing techniques and is robust as it achieves a fast, optimal pattern match even in the presence of high noise and incomplete data sets, with insignificant degradation.< >

关键词： Genetic programming Robustness Pattern matching Shape signal processing algorithms Space technology computer vision Machine vision Concurrent computing Stochastic processes

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Application of higher order spectra to multi-scale deconvolution of sensor array signals

Application of higher order spectra to multi-scale deconvolu...

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

作者： A. El-Jaroudi T. Akgul M. Simaan Signal Processing and Interpretation Laboratory University of Pittsburgh Department of Electrical Engineering University of Pittsburgh Pittsburgh PA USA Laboratory for Computational Neuroscience Pittsburgh PA USA

We present a solution to the multi-scale deconvolution problem using higher order spectra where the data to be deconvolved consist of noise corrupted sensor array measurements. The model assumes that the data are generated as a convolution of an unknown wavelet with linearly time-scaled versions of an unknown signal (reflectivity sequence). This type of data occurs in many signal processing applications, including radar, sonar and seismic processing. Our approach relies on exploiting the redundancy in the measurements due to time-scaling, and does not require knowledge of the wavelet or the signal. We formulate and solve the deconvolution problem as a quadratic minimization subject to a quadratic constraint in the sum-of-cumulants domain. The formulation using higher-order spectra reduces the effect of additive Gaussian noise on the accuracy of the results when compared to the standard time-domain formulation.< >

关键词： Deconvolution Sensor arrays Seismic measurements Radar signal processing Noise measurement signal generators Convolution Reflectivity Array signal processing Radar applications

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Spatially-variant mathematical morphology

Spatially-variant mathematical morphology

引用

IEEE International Conference on Image processing

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

In this paper, we present a comprehensive theory of spatially-variant (SV) mathematical morphology. A kernel representation of increasing operators in terms of the union (resp., intersection) of SV erosions (resp., SV dilations) is provided. A representation of algebraic openings (resp., algebraic closings) in terms of the union (resp., intersection) of SV openings (resp., SV closings) is also provided.< >

关键词： Morphology Kernel Shape measurement Laboratories Size measurement

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Efficient simulation of high speed tandem networks using importance sampling and stochastic gradient techniques

Efficient simulation of high speed tandem networks using imp...

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： J.A. Freebersyser M. Devetsikiotis J.K. Townsend Center for Communications and Signal Processing Department of Electrical & Computer Engineering North Carolina Agriculture and Technical State University Raleigh NC USA Department of Systems & Computer Engineering Carleton University Ottawa ONT Canada

Simulation using importance sampling (IS) can obtain large speed-up factors if the modification or bias of the underlying probability measures is properly chosen. In the paper, the stochastic gradient optimisation techniques previously used to analyse single queue networks with bursty traffic are extended to tandem networks of queues with bursty traffic. The effectiveness of IS and stochastic gradient algorithms is demonstrated by their application to the problem of estimating the cell blocking probability due to buffer overflow of each queue in a tandem configuration. For the examples presented, these methods achieve speed-up factors of 5 to 8 orders of magnitude over conventional Monte Carlo simulation.

关键词： Monte Carlo methods Stochastic processes Telecommunication traffic Traffic control Queueing analysis Communication networks Analytical models Computational modeling signal processing computer simulation

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Abstraction techniques for modeling real-world interface chips 6th

Abstraction techniques for modeling real-world interface chi...

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6th International Workshop on Higher Order Logic Theorem Proving and Its Applications, HUG 1993

作者： Fura, David A. Windley, Phillip J. Somani, Arun K. Flight Critical Information Processing Boeing Defense & Space Group SeattleWA98124 United States Laboratory for Applied Logic Computer Science Department Brigham Young University ProveUT84602 United States Electrical Engineering Department University of Washington SeattleWA98195 United States Computer Science & Engineering Department University of Washington SeattleWA98195 United States

ISBN: (纸本)9783540578260

We describe techniques for specifying the requirements of real-world interface chips, using as a test target a processor interface unit (PIU). The PIU modeling problem is explained, and current interpreter specification practices are shown to be inadequate for the PIU requirements. General modeling techniques for handling difficult aspects of the PIU are explained, and a new approach that implements these techniques is presented and applied to the PIU requirements specification. © Springer-Verlag Berlin Heidelberg 1994.

关键词： Specifications

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Parallel D-eigenvalues and parallel D-eigenvectors for linear time-varying systems

Parallel D-eigenvalues and parallel D-eigenvectors for linea...

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Southeastern Symposium on System Theory

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

Singular behavior of PD-eigenvalues of an nth-order scalar polynomial differential operator (SPDO) /spl Dscrsub /spl alpha=/spl deltasup n/+/spl Sigmasub k=1sup nspl alphasub k/(t)/spl deltasup k/spl minus/1/, where /spl delta/=d/dt, is investigated. Main results of this paper include: (i) definition and properties of PD-eigenvectors associated with PD-eigenvalues, (ii) definitions and properties of generalized PD-eigenvectors and generalized PD-eigenvalues for singular PD-eigenvalues; (iii) application of (i) and (ii) in stability analysis of linear time-varying (LTV) systems /spl Dscrsub /spl alpha/spl lcub/y/spl rcub/=0, and (iv) application (i) and (ii) in the realization of PD-characteristic equation. The new results will have a significant impact on applications of the unified eigenvalue theory to the analysis and control of LTV control systems, and its further development.< >

关键词： Time varying systems Eigenvalues and eigenfunctions Control systems Polynomials Stability analysis Control system analysis Riccati equations Remote sensing Image processing Laboratories

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Limit cycles and asymptotic stability of delta-operator formulated discrete-time systems implemented in fixed-point arithmetic

Limit cycles and asymptotic stability of delta-operator form...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K. Premaratne P.H. Bauer Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Department of Electrical Engineering Laboratory of Image and Signal Analysis University of Notre Dame Notre Dame IN USA

This paper analyzes the problem of global asymptotic stability of delta-operator formulated discrete-time systems implemented in fixed-point arithmetic. It is shown that the free response of such a system tends to produce period one limit cycles if conventional quantization arithmetic schemes are used. Explicit necessary conditions for global asymptotic stability are derived, and these demonstrate that, in almost all cases, fixed-point arithmetic does not allow for global asymptotic stability in delta-operator formulated discrete-time systems that use a short sampling time.< >

关键词： Limit-cycles Asymptotic stability Quantization Fixed-point arithmetic Sampling methods Floating-point arithmetic Laboratories signal analysis Bandwidth Feedback

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A simple neural learning algorithm for total least-squares adaptive filtering

A simple neural learning algorithm for total least-squares a...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K. Gao M.O. Ahmad M.N.S. Swamy Bell Northern Research Limited Ottawa ONT Canada Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

A Hebbian-type learning algorithm for the total least-squares parameter estimation is presented. An asymptotic analysis is carried out to show that the algorithm allows the weight vector of a linear neuron unit to converge to the eigenvector associated with the smallest eigenvalue of the correlation matrix of the input signal. When the algorithm is applied to solve parameter estimation problems, the converged weights directly yield the total least-squares solution. It is shown that the implementations of the proposed algorithm have the simplicity of those of the LMS algorithm, but its noise rejection capability is much superior to those of the least-squares-based algorithms. The applicability and performance of the algorithm are demonstrated through computer simulations of adaptive FIR and IIR parameter estimation problems.< >

关键词： Filtering algorithms Adaptive filters signal processing algorithms Vectors Matrix decomposition Neurons Parameter estimation Eigenvalues and eigenfunctions Adaptive signal processing Algorithm design and analysis

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Meromorphic D-similarity transformation for linear time-varying systems

Meromorphic D-similarity transformation for linear time-vary...

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Southeastern Symposium on System Theory

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

This study constitutes an effort in identifying a class of unbounded coordinate transformations for vector linear time-varying systems of the form x/spl dot/=A(t)x. Main results of this paper include: (i) the definition and properties of meromorphic D-similarity transformations, (ii) two theorems on stability preserving meromorphic transformations. The results appear to be somewhat restrictive, but certainly shed some light on this intriguing yet difficult problem.< >

关键词： Time varying systems Polynomials Vectors Stability analysis Remote sensing Image processing Laboratories Asymptotic stability

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