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

共 419 条记录，以下是321-330 订阅

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CONVOLUTION, FILTERING, LINEAR-SYSTEMS, THE WIENER-KHINCHIN THEOREM - GENERALIZATIONS

CONVOLUTION, FILTERING, LINEAR-SYSTEMS, THE WIENER-KHINCHIN ...

引用

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

作者： COHEN, L Rutgers Univ. (United States)

ISBN: (纸本)081940943X

A simple formulation is given for generating convolution theorems in any representation. Using this method we obtain the convolution theorem for the scale representation. We generalize the concept of invariance to any basis set and devise a method for handling linear invariant systems for arbitrary quantities. The Wiener-Khinchin theorem is generalized to arbitrary power energy densities. Also, we show how standard probability theory can be formulated in terms of signals.

关键词： Transform theory Convolution Fourier transforms Probability theory Linear filtering Electronic filtering Detection theory Information technology signal analysis Matrices

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DECOMPOSITION OF TIME-FREQUENCY DISTRIBUTION KERNELS

DECOMPOSITION OF TIME-FREQUENCY DISTRIBUTION KERNELS

引用

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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FOCUSED WIDE-BAND DIRECTION FINDING

FOCUSED WIDE-BAND DIRECTION FINDING

引用

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

作者： HUNG, HS MAO, CY Iowa State Univ. (United States)

ISBN: (纸本)081940943X

A robust focusing matrix, called unitary constrained array manifold focusing, is proposed for the coherent signal-subspace method which is a novel approach for direction finding of broad- band sources. The proposed focusing matrix has robustness against size variations of focusing sectors obtained by preliminary group angle estimates. To quantify information loss due to source focusing, a new measure, relative efficiency index, is introduced. This index is useful in assessing statistical sufficiency of a data-reduced statistic formed by source focusing. The sensitivity issue as well as estimation performance comparisons for various focusing schemes, based on simulations and relative efficiency index, are also presented.

关键词： Received signal strength Matrices Sensors Resolution enhancement technologies Interference (communication) signal to noise ratio Statistical analysis Data modeling Ruthenium signal attenuation

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TREE-STRUCTURED WAVELET TRANSFORM FOR TEXTURED IMAGE SEGMENTATION

TREE-STRUCTURED WAVELET TRANSFORM FOR TEXTURED IMAGE SEGMENT...

引用

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

作者： CHANG, TH KUO, CCJ Univ. of Southern California (United States)

ISBN: (纸本)081940943X

A tree-structured wavelet transform has been developed for texture classification in our previous work. The new transform, which offers a non-redundant representation, is able to zoom into dominant frequency channels containing significant information of textures and can be interpreted as the decomposition of a 2-D function with the wavelet packet basis. In this research, we extend our work to the texture segmentation problem. A new multiscale texture segmentation algorithm based on the tree-structured wavelet transform and hierarchical fuzzy clustering technique is proposed. Numerical experiments are given to demonstrate the performance of our new algorithm.

关键词： Image segmentation Wavelet transforms Fuzzy logic Composites Digital filtering Wavelets Spatial frequencies Image processing algorithms and systems Electronic filtering Image classification

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Comparison of time-frequency signal analysis techniques with application to speech recognition

Comparison of time-frequency signal analysis techniques with...

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advanced signal processing algorithms, architectures, and implementations III

作者： Reilly, Andrew P. Boashash, Boualem Queensland Univ. of Technology Brisbane Queensland Australia

ISBN: (纸本)081940943X

Techniques for machine recognition of speech exist, but use representations of the speech signal which cannot convey some of the speech information. Alternatives from time-frequency and time-scale analysis are compared with the traditional methods with a view to improving the word recognition rate. Experiments have shown the speech recognition rate improves in some cases.

关键词： Speech recognition

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NRL FLEX radar signal-processing architecture: an update

NRL FLEX radar signal-processing architecture: an update

引用

advanced signal processing algorithms, architectures, and implementations III

作者： Alter, James J. Evins, James B. Popick, Glen L. Scott, Russell A. Letellier, J.P. Naval Research Lab. Washington DC USA

ISBN: (纸本)081940943X

The NRL FLEX processor architecture is designed for real-time radar signal processing and was described at last year's conference in the context of its original application, the Point Defense Demonstration Radar project at NRL. This paper describes the current status of the processor and the application of the same architecture to a new problem which requires a different board configuration to satisfy a different set of latency and data flow requirements.

关键词： Radar systems

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APPLICATION OF THE WIGNER DISTRIBUTION TO THE DETECTION OF LATE POTENTIALS IN ECG

APPLICATION OF THE WIGNER DISTRIBUTION TO THE DETECTION OF L...

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

作者： PEYRIN, F KAROUBI, B MORLET, D DUPONT, F RUBEL, P DESSEIGNE, P TOUBOUL, P Lab. de Traitement du Signal et Ultrasons (France) INSERM/Lyon (France) Lab. Traitement du Signal et Ultrasons (France) Hopital Cardiologique (France)

ISBN: (纸本)081940943X

The problem of detecting micropotentials in high resolution ECGs is of great importance to predict ventricular tachycardia. Since both conventional time domain and frequential domain methods present serious limitations, we address this problem using a high resolution time frequency method. The possibilities of the spectrogram and Wigner distribution (WD) are evaluated in order to analyze ECGs acquired both on patients with and without ventricular tachycardia. Furthermore, quantitative features are extracted from those representations in order to discriminate the two classes.

关键词： Electrocardiography Time-frequency analysis signal analyzers Feature extraction Convolution Smoothing Electronic filtering Fourier transforms Heart Linear filtering

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CUMULANT BASED STATIONARY AND NONSTATIONARY MODELS FOR CLASSIFICATION AND SYNTHESIS OF RANDOM-FIELDS

CUMULANT BASED STATIONARY AND NONSTATIONARY MODELS FOR CLASS...

引用

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

作者： ZHOU, GT GIANNAKIS, GB Univ. of Virginia (United States)

ISBN: (纸本)081940943X

Cumulants are employed for classification and synthesis of textured images because they suppress additive Gaussian noise of unknown covariance and are capable of resolving phase and causality issues in stationary non-Gaussian random fields. Their performance is compared with existing autocorrelation based approaches which offer sample estimates of smaller variance and lower computational complexity. Nonlinear matching techniques improve over linear equation methods in estimating parameters of non-Gaussian random fields especially under model mismatch. Seasonal 1-D sequences allow for semi-stationary 2-D models and their performance is illustrated on synthetic space variant textures. The potential of prolate spheroidal basis expansion is also described for parsimonious nonstationary modeling of space variant textured images.

关键词： Autoregressive models Image classification Statistical analysis Image segmentation Statistical modeling Image processing signal to noise ratio Performance modeling Radon signal processing

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TIME-VARYING POLYSPECTRA AND REDUCED WIGNER-VILLE TRISPECTRUM

TIME-VARYING POLYSPECTRA AND REDUCED WIGNER-VILLE TRISPECTRU...

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

作者： BOASHASH, B RISTIC, B Queensland Univ. of Technology (Australia)

ISBN: (纸本)081940943X

This paper consists of two parts. The first part reviews a class of higher-order Wigner-Ville distributions projected onto a single frequency axis. This class is referred to as polynomial Wigner-Ville distributions (PWVDs). For random processes, the expected value of PWVDs represent time-varying higher-order moment spectra. The second part defines and studies a particular member of a class of time-varying higher-order spectra based on PWVDs, namely a reduced Wigner-Ville trispectrum (RWVT). This novel time-frequency representation is shown to be a very efficient tool for analysis of FM signals affected by Gaussian amplitude modulation. In the paper, we present a statistical comparison of the RWVT and WVD based instantaneous frequency estimates for linear FM signals in absence and in presence of multiplicative noise. For multicomponent signals, the RWVT has to be re-defined and calculated in the full multi-lag domain.

关键词： Fermium Frequency modulation Interference (communication) signal to noise ratio Time-frequency analysis Modulation signal processing Statistical analysis Amplitude modulation signal analyzers

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IMPLEMENTING THE VITERBI ALGORITHM ON GENERAL-PURPOSE PARALLEL COMPUTERS

IMPLEMENTING THE VITERBI ALGORITHM ON GENERAL-PURPOSE PARALL...

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

作者： ALSTON, MD CHAU, PM CHEUNG, KM Univ. of California/San Diego (United States) Jet Propulsion Lab. (United States)

ISBN: (纸本)081940943X

The Viterbi algorithm (VA) for decoding convolutionally encoded data has historically been implemented on special-purpose digital electronic hardware. For short/moderate (K equals 3 to 9) constraint length codes, a primary design goal is to maximize the decoded bit rate while minimizing circuit area. In recent years, a number of special-purpose architectures based upon shuffle-exchange networks, cube-connected cycles, ring-based networks, systolic arrays, or programmable processors have been designed for efficient implementation of the VA at these and longer constraint lengths. However, at the same time, the performance:cost ratio of high- end general-purpose computing machines has been improving dramatically. Recognizing the substantial investment in time and resources required to design and build an ASIC-based decoder for long (K equals 10 to 15) constraint length codes, the feasibility of implementation of the VA as a background process on a readily available general-purpose parallel processing machine deserves exploration. We consider the limitations and benefits of a Viterbi decoder for long constraint length codes implemented in software on a general-purpose parallel processing machine.

关键词： Computing systems Parallel processing Binary data Telecommunications Computer programming Forward error correction Network architectures Parallel computing signal processing Very large scale integration

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