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检索条件"任意字段=Advanced Signal Processing Algorithms, Architectures, and Implementations III"

共 457 条记录，以下是131-140 订阅

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COHERENT signal-SUBSPACE processing FOR NEAR-FIELD BROAD-BAND SOURCE LOCALIZATION 4

COHERENT SIGNAL-SUBSPACE PROCESSING FOR NEAR-FIELD BROAD-BAN...

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： LIN, S HUNG, HS Iowa State Univ. (United States)

ISBN: (纸本)0819412767

In this paper, the coherent signal-subspace method (CSM) is extended for estimation of bearing, elevation and range of multiple, near-field, broad-band sources. Analytical results are also derived to justify the effectiveness of the near-field CSM. It is shown that the coherently averaged sample covariance matrix in the near-field CSM has complex Wishart distribution with number of degrees-of-freedom equaling the time-bandwidth product, provided that (1) the frequency components of the array output are statistically independent and Gaussian distributed, and (2) the errors between all the actual source locations and the preliminary estimate of the source cluster center are upperly bounded by a small constant. Some simulation results are provided to show the effectiveness of the near-field CSM.

关键词： Near field signal processing Error analysis Sensors Statistical analysis Data modeling Interference (communication) signal to noise ratio Source localization Spherical lenses

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Time-frequency approximations, with application to filtering, modulation and propagation - art. no. 63130S

Time-frequency approximations, with application to filtering...

引用

Conference on advanced signal processing algorithms, architectures, and implementations XVI

作者： Loughlin, Patrick J. Univ Pittsburgh Pittsburgh PA 15261 USA

ISBN: (纸本)0819463922

signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wigner distribution and its generalization have become standard methods for analyzing such time-varying signals. We derive approximations of the Wigner distribution that can be applied to gain insights into the effects of filtering, amplitude modulation, frequency modulation, and dispersive propagation on the time-varying spectral content of signals.

关键词： signal filtering and prediction

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NUMERICAL-INTEGRATION OF PDES BY DISCRETE PASSIVE MODELING OF PHYSICAL SYSTEMS 4

NUMERICAL-INTEGRATION OF PDES BY DISCRETE PASSIVE MODELING O...

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： FETTWEIS, A Ruhr-Univ. Bochum (Germany)

ISBN: (纸本)0819412767

A new method for numerically integrating partial differential equations (PDEs) has been under study for the last few years. This method is based on principles of multidimensional (MD) Kirchhoff circuits and multidimensional wave digital filters (MD WDFs), which explains why it has probably not been discovered earlier. It makes wide use of methods and results that have been developed by extensive research in the areas of circuit theory and digital signal processing, but that are rather unknown outside of the small circle of experts on MD WDFs. Instead of talking about MD WDFs we prefer using, within the context of numerical integration, the designation `discrete multidimensionally passive (MD-passive) dynamical systems.'

关键词： Palladium Wigner distribution functions Systems modeling Neodymium Numerical integration Digital electronics Digital signal processing signal processing Digital filtering Partial differential equations

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STABLE CHASING algorithms FOR MODIFYING COMPLETE AND PARTIAL SINGULAR-VALUE DECOMPOSITIONS 4

STABLE CHASING ALGORITHMS FOR MODIFYING COMPLETE AND PARTIAL...

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： BARLOW, JL ZHA, HY YOON, PA The Pennsylvania State Univ. (United States)

ISBN: (纸本)0819412767

Methods for updating and downdating singular value decompositions (SVDs) and partially reduced bidiagonal forms (partial SVDs) are introduced. The methods are based upon chasing procedures for updating the SVD and downdating procedures for orthogonal decompositions. The main feature of these methods is the ability to separate the singular values into `large' and `small' sets and then obtain an updated bidiagonal form with corresponding `large' and `small' columns. This makes for a more accurate update or dosndate.

关键词： Matrices Computer science Feature extraction Tolerancing Applied research Error analysis Lithium signal processing

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Multilinear algebra for independent component analysis

Multilinear algebra for independent component analysis

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Conference on advanced signal processing algorithms, architectures, and implementations IX

作者： McWhirter, JG Clarke, IJ Spence, G Def Evaluat & Res Agcy Malvern WR14 3PS Worcs England

ISBN: (纸本)0819432938

It is shown how some simple multilinear transformations may be used to generate an alternative, and potentially faster, version of the BLISS algorithm for blind signal separation. The BLISS algorithm performs an independent component analysis of the type proposed by Comon but uses a different method for estimating the pairwise rotation angles. It has been applied to a wide range of communication signals and proved extremely successful in practice. The reformulated version of BLISS requires less arithmetic operations provided the number of signals to be separated is fairly small (similar to 3 to 5) as found in a range of important communication scenarios.

关键词： multilinear algebra independent component analysis higher order statistics blind signal separation

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OPTIMAL KERNELS FOR TIME-FREQUENCY ANALYSIS

OPTIMAL KERNELS FOR TIME-FREQUENCY ANALYSIS

引用

CONF ON advanced signal-processing algorithms, architectures, AND implementations

作者： BARANIUK, RG JONES, DL Univ. of Illinois/Urbana-Champaign (United States)

ISBN: (纸本)0819404098

Current bilinear time-frequency representations apply a fixed kernel to smooth the Wigner distribution. However the choice of a fixed kernel limits the class ofsignals that can be analyzed effectively. This paper presents optimality criteria for the design of signal-dependeni kernels that suppress cross-components while passing as much auto-component energy as possible irrespective of the form of the signal. A fast algorithm for the optimal kernel solution makes the procedure competitive computationaily with fixed kernel methods. Examples demonstrate the superior performance of the optimal kernel for a frequency modulated signal.

关键词： Time-frequency analysis Fourier transforms Smoothing signal analyzers signal to noise ratio Analytical research Interference (communication) Modulation Convolution Wavelets

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signal-ADAPTIVE DECOMPOSITION OF MULTICOMPONENT signalS 4

SIGNAL-ADAPTIVE DECOMPOSITION OF MULTICOMPONENT SIGNALS

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： ASSALEH, KT MAMMONE, RJ Rutgers Univ. (United States)

ISBN: (纸本)0819412767

In this paper we present a new method for adaptively decomposing a multicomponent signal into its components. This method is based on fitting an autoregressive (AR) model to the short-time spectra of the signal. The AR parameters represent the coefficients of the linear predictive (LP) polynomial. The roots of this polynomial constitute a set of center frequencies and bandwidths that characterize the modes of the signal. The decomposition process is achieved by applying a time-varying filter bank to the original multicomponent signal. The characteristics of this filter bank are derived from a subset of the roots of the LP polynomial. We have developed a constraining algorithm to determine that subset based on the boundedness of the bandwidths, and the temporal continuity of the center frequencies of the components. We have applied the proposed decomposition method for the separation of the formants of speech signals.

关键词： Autoregressive models signal to noise ratio Electronic filtering Composites Digital filtering Algorithm development signal processing Image segmentation Resonators Time-frequency analysis

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DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-processing 4

DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-PROCESSING

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： PEREZNEIRA, A LAGUNAS, MA ETSI Telecommunication (Spain)

ISBN: (纸本)0819412767

Antenna arrays collect multidimensional data that contains signals arriving from different sources. Neural Network architectures can separate the different signals, thus enabling parallel processing structures. These structures can solve a multi-signal estimation problem more efficiently than the corresponding single signal estimator. Various of these parallel architectures are evaluated in the context of array signal processing. Specifically, the scheme developed in this paper (section 2) uses the spatial diversity supplied by the aperture associated with the sensors to separate the signals and to apply them to a bank of parallel adaptive filters. These filters are then designed in accordance with a mean square error minimization criterion (i.e., a criterion based on Second Order Statistics). As Second Order Statistics assume linearity or Gaussianity they are sometimes overly restrictive. It is shown how High Order Statistics can be very useful when more general criteria such as statistical independence between the signals to be separated are imposed.

关键词： Array processing Sensors Phased arrays signal processing Antennas Digital filtering Filtering (signal processing) Error analysis Electronic filtering Mobile communications

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Implementation of pattern recognition algorithm based on RBF neural network

Implementation of pattern recognition algorithm based on RBF...

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Conference on advanced signal processing algorithms, architectures and implementations XII

作者： Bouchoux, S Brost, V Yang, F Grapin, JC Paindavoine, M Univ Burgundy Lab LE2I Fac Sci Mirande Aile Ingenieur F-21011 Dijon France

ISBN: (纸本)0819445584

In this paper, we present implementations of a pattern recognition algorithm which uses a RBF (Radial Basis Function) neural network. Our aim is to elaborate a quite efficient system which realizes real time faces tracking and identity verification in natural video sequences. Hardware implementations have been realized on an embedded system developed by our laboratory. This system is based on a DSP (Digital signal Processor) TMS320C6x. The optimization of implementations allow us to obtain a processing speed of 4.8 images (240 x 320 pixels) per second with a correct rate of 95% of faces tracking and identity verification.

关键词： RBF neural network face tracking and identity verification DSP TMS320C6x real-time image processing embedded system

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Approach to regularization preconditioners for image processing

Approach to regularization preconditioners for image process...

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Conference on advanced signal processing algorithms architectures and implementations Xiii

作者： Estatico, C Univ Genoa Dipartmento Matemat I-16146 Genoa Italy

ISBN: (纸本)0819450782

Preconditioning techniques for linear systems are widely used in order to speed up the convergence of iterative methods. Unfortunately, linear systems arising in image processing are highly ill-conditioned and preconditioners often give bad results, since the noise components on the data are strongly amplified already at the early iterations. In this work, we propose filtering strategies which allow to obtain preconditioners with regularization features for Toeplitz systems of image deblurring. Regularization preconditioners are able to speed up the convergence in the space less sensitive to the noise and, simultaneously, they slow down the restoration from components mainly corrupted by noise. A 2-d numerical simulation concerning astronomical image deblurring confirms the effectiveness of the arguments.

关键词： preconditioning ill-conditioning regularization approximation operators Toeplitz matrices

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