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

共 419 条记录，以下是111-120 订阅

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Window design for signal-dependent spectrogram using optimal kernel techniques 6

Window design for signal-dependent spectrogram using optimal...

引用

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

作者： Carson, CC Baraniuk, RG UNIV CALIF BERKELEY DEPT ELECT ENGN & COMP SCIBERKELEYCA 94720

ISBN: (纸本)0819422347

Time-frequency distributions (TFDs) have proven useful in a wide variety of nonstationary signal processing applications. While sophisticated optimal bilinear TFDs have been developed to extract the maximum possible time- frequency information from signals, certain applications dictate simpler linear, running-FFT processing techniques. In this paper, we propose a signal-dependent short-time Fourier transform/spectrogram that enjoys many of the advantages of optimal bilinear TFDs yet retains the simplicity and efficiency of running-FFT processing. In addition, we extend the optimal kernel design problem to linear spaces of signals.

关键词： time-frequency analysis spectrogram Wigner distribution optimal kernel design

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Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions

Evolutionary spectrum estimation by deconvolving bilinear ti...

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SPIE Conference on advanced signal processing algorithms, architectures, and implementations VIII

作者： Emresoy, MK El-Jaroudi, A Univ Pittsburgh Real Time Signal Proc Lab Pittsburgh PA 15261 USA

ISBN: (纸本)0819429163

A deconvolution technique to estimate the Evolutionary Spectrum (ES) of nonstationary signals by deconvolving the blurring effects of the kernel function fi om bilinear time frequency distributions (TFD) is presented. The resulting ES has desirable properties such as positivity, higher resolution, higher concentration in time-frequency. The proposed algorithm is computationally more efficient compared to the recently proposed entropy based deconvolution method. Unlike the entropy method the new algorithm can be adapted to deconvolve TFDs other than the spectrogram.

关键词： evolutionary spectrum bilinear time-frequency distributions deconvolution

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Quartic functions for time-frequency analysis with applications to signal adaptive kernel design

Quartic functions for time-frequency analysis with applicati...

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Conference on advanced signal processing - algorithms, architectures, and implementations VII

作者： ONeill, JC Ecole Normale Superieure de Lyon (United States)

ISBN: (纸本)0819425842

In time-frequency analysis, we extend functions of one variable to functions of two variables. The functions of two variables provide information about the signal that is not easily discernible from the functions of one variable. In this paper, we investigate a method for creating quartic functions of three variables and also a quartic function of all four variables. These quartic functions provide a meaningful representation of the signal that goes beyond the well known quadratic functions. The quartic functions are applied to the design of signal-adaptive kernels for Cohen's class and shown to provide improvements over previous methods.

关键词： time-frequency analysis kernel design quartic functions

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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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DECOMPOSITION OF TIME-FREQUENCY DISTRIBUTION KERNELS

DECOMPOSITION OF TIME-FREQUENCY DISTRIBUTION KERNELS

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CONF ON advanced signal processing algorithms, architectures, AND implementations 3

作者： CUNNINGHAM, GS WILLIAMS, WJ Univ. of Michigan (United States)

ISBN: (纸本)081940943X

Cohen's class of time-frequency distributions has been recognized to have significant potential for the analysis of complicated signals. The spectrogram, though it offers comparatively lower time-frequency resolution than other, more recently investigated members of Cohen's class, is still the most broadly used TFD today. Packages are available which perform SP evaluation and offer signal synthesis from the closely related short-time Fourier transform. These packages allow the SP to be the widely accessible signal processing tool that it is. In this paper, we introduce two decompositions of TFDs, the SP decomposition and the weighted reversal correlator decomposition. The decompositions are useful for TFD interpretation, fast implementations using SP building blocks and related high-resolution, linear signal synthesis method using STFT signal synthesis building blocks. It is hoped that these decompositions will facilitate the development of TFD signal analysis/synthesis packages (using existing SP analysis/synthesis packages), and that these packages will make TFDs other than the SP accessible to a broad audience.

关键词： Surface plasmons Time-frequency analysis signal analyzers Fourier transforms Optical correlators Spectral resolution signal processing Analytical research Computer science Electrical engineering

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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...

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

DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-PROCESSING

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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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