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检索条件"任意字段=Advanced Algorithms and Architectures for Signal Processing IV 1989"

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DETECTION OF NON-GAUSSIAN signalS USING INTEGRATED POLYSPECTRUM 4

DETECTION OF NON-GAUSSIAN SIGNALS USING INTEGRATED POLYSPECT...

引用

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

作者： TUGNAIT, JK Auburn Univ. (United States)

ISBN: (纸本)0819412767

We consider the problem of detecting an unknown, random, stationary, non-Gaussian signal in Gaussian noise. The most commonly used method for this problem is the so-called energy detector which can not distinguish between Gaussian and non-Gaussian signals. Recently the use of bispectrum and/or trispectrum of the signal has been suggested for improving detection performance for non-Gaussian signals. In this paper we suggest the use of an integrated polyspectrum (bispectrum or trispectrum) to possibly further enhance detection performance and to improve computational efficiency of the detectors based upon polyspectrum. We investigate conditions under which use of the integrated bispectrum is appropriate. The detector structure is derived and its performance is evaluated via simulations and comparisons with several other existing approaches.

关键词： signal detection Information technology Tantalum Sensors Statistical analysis Monte Carlo methods signal processing Interference (communication) Fourier transforms Integration

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NEURAL-NETWORK processing TO MINIMIZE QUANTIZATION LOSSES 4

NEURAL-NETWORK PROCESSING TO MINIMIZE QUANTIZATION LOSSES

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

作者： WU, YJ CHAU, PM Univ. of California/San Diego (United States)

ISBN: (纸本)0819412767

A general neural network co-processor has been investigated and designed to adaptively adjust the quantization thresholds of a data quantizer, and thus a data quantizer with minimum quantization loss can be obtained. For a given probability density function and number of quantization levels, the neural network is designed to learn the near optimal quantization uniform step-size which minimizes the loss caused by the quantizer. With this neural network co-processor approach, consistent and substantial performance improvements have been verified on either an AWGN or a Rayleigh fading communication channel with convolutional encoder and maximum likelihood decoder. This general neural network co-processor approach can be applied to any digital signal processing system which has quantization loss, such as digital communication, image data compression, or adaptive signal processing.

关键词： Neural networks Quantization Digital signal processing Data communications signal processing signal to noise ratio Analog electronics Modulation signal attenuation Telecommunications

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A NEW ALGORITHM FOR RATIONAL SUBSPACE ESTIMATION BASED ON CASCADABLE ADAPTivE LOSSLESS FILTERS 4

A NEW ALGORITHM FOR RATIONAL SUBSPACE ESTIMATION BASED ON CA...

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

作者： FIJALKOW, I LOUBATON, P REGALIA, PA Telecom Paris Dept. Signal 46 rue Barrault Paris Cedex 13 75634 France Institut National des Telecommunications 9 rue Charles Fourier Evry Cedex 91011 France

ISBN: (纸本)0819412767

In a previous work, a time domain algorithm was proposed to adaptively estimate a rational and orthonormal spanning of a rational subspace. However, its convergence was not proved and it seems that asymptotic misbehaviour may occur. A new algorithm is proposed, for which satisfactory convergence properties hold. It provides robustness with regard to the signal model and shows an especially good asymptotical performance for small SNR. © 1993 SPIE. All rights reserved.

关键词： Time domain analysis

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PARAMETRIC METHODS FOR NONSTATIONARY SEISMIC DATA-ANALYSIS 4

PARAMETRIC METHODS FOR NONSTATIONARY SEISMIC DATA-ANALYSIS

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

作者： MAIWALD, D MOLLE, JWD BOHME, JF Ruhr-Univ. Bochum (Germany) Imperial College of Science Technology and Medicine (United Kingdom)

ISBN: (纸本)0819412767

We investigate the estimation of both the number of waves and the wave parameters for transient wavefields in a geophysical application. Models of the earth have to be verified by seismogram analysis. We present two nonparametric methods for the estimation of wave parameters where one is based on the first-order stationary spectrum and the other one is based on the second-order cumulant spectrum. We also investigate a parametric method for wave parameter estimation which allows us to determine the number of incident waves. The algorithms are applied to synthetic seismic data.

关键词： Sensors Data modeling Phased arrays signal detection Algorithm development Data analysis Fourier transforms Statistical analysis Earthquakes Wave propagation

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TOMOGRAPHIC IMAGING OF THE IONOSPHERE USING BIDIRECTIONAL EXTRAPOLATION ALGORITHM 4

TOMOGRAPHIC IMAGING OF THE IONOSPHERE USING BIDIRECTIONAL EX...

引用

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

作者： NA, HR LEE, H SHEN, J Univ. of Iowa (United States) Univ. of California/Santa Barbara (United States)

ISBN: (纸本)0819412767

In this paper, a new Fourier domain reconstruction algorithm is presented which utilizes the information contained in the known region of the spectrum to estimate the frequency samples in the missing-cone area. Unlike conventional two-dimensional extrapolation techniques, this method uses bi-directional extrapolation to maximize the amount of known information in each extrapolation step. By fully utilizing the information of the measured data, the resulting image provides a more accurate estimation of the electron density distribution. The resolution improvement achieved is mainly due to the proper utilization of the available information in the measurements during the image formation process.

关键词： Tomography Statistical analysis Data acquisition Reconstruction algorithms Image processing Satellites Image resolution Image acquisition signal detection Computer engineering

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APPLICATION OF CUMULANT TVHOS TO THE ANALYSIS OF COMPOSITE FM signalS IN MULTIPLICATivE AND ADDITivE NOISE 4

APPLICATION OF CUMULANT TVHOS TO THE ANALYSIS OF COMPOSITE F...

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

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

ISBN: (纸本)0819412767

The paper addresses two questions of time-varying higher-order spectra (TVHOS), whose solutions are essential for the further development of these methods and their applicability to a wide range of situations. They are: (1) defining cumulant TVHOS and (2) predicting the behavior of TVHOS of composite signals. It is shown first that the cumulant Wigner-Ville trispectrum (as a particular member of cumulant TVHOS), can preserve the essential properties of cumulant higher-order spectra (e.g., eliminates Gaussian additive noise) and at the same time is able to characterize the time-variations of the signal's spectral (i.e., trispectral) content. Secondly, when dealing with composite FM signals, a special kind of `non-oscillating cross-terms' appear in the moment TVHOS time-frequency subspace. These cross-terms cannot be eliminated by smoothing the WVT, but rather by appropriate slicing of the full time-multi-frequency space.

关键词： Fermium Frequency modulation Composites Time-frequency analysis Interference (communication) signal processing Smoothing signal analyzers Chromium Nonlinear optics

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ESPRIT and uniform linear arrays

ESPRIT and uniform linear arrays

引用

advanced algorithms and architectures for signal processing iv 1989

作者： Roy, R. Goldburg, M. Ottersten, B. Swindlehurst, A.L. Viberg, M. Kailath, T. Information Systems Laboratory Stanford University StanfordCA94305 United States

ESPRIT is a recently developed and patented technique for high-resolution estimation of signal parameters. It exploits an invariance structure designed into the sensor array to achieve a reduction in computational requirements of many orders of magnitude over previous techniques such as MUSIC, Burg's MEM, and Capon's ML, and in addition achieves performance improvement as measured by parameter estimate error variance. It is also manifestly more robust with respect to sensor errors (e.g. gain, phase, and location errors) than other methods as well. Whereas ESPRIT only requires that the sensor array possess a single invariance best visualized by considering two identical but otherwise arbitrary arrays of sensors displaced (but not rotated) with respect to each other, many arrays currently in use in various applications are uniform linear arrays of identical sensor elements. Phased array radars are commonplace in high-resolution direction finding systems, and uniform tapped delay lines (i.e., constant rate A/D converters) are the rule rather than the exception in digital signal processing systems. Such arrays possess many invariances, and are amenable to other types of analysis, which is one of the main reasons such structures are so prevalent. Recent developments in high-resolution algorithms of the signal/noise subspace genre including total least squares (TLS) ESPRIT applied to uniform linear arrays are summarized. ESPRIT is also shown to be a generalization of the root-MUSIC algorithm (applicable only to the case of uniform linear arrays of omni-directional sensors and unimodular cisoids). Comparisons with various estimator bounds, including Cramer-Rao bounds, are presented. © 1989 SPIE. All rights reserved.

关键词： signal analysis

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RECENT ADVANCES IN NONSTATIONARY signal ANALYSIS - TIME-VARYING HIGHER-ORDER SPECTRA AND MULTILINEAR TIME-FREQUENCY signal ANALYSIS 4

RECENT ADVANCES IN NONSTATIONARY SIGNAL ANALYSIS - TIME-VARY...

引用

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

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

ISBN: (纸本)0819412767

This paper is written to provide both a historical review of past work and an overview of recent advances in time-frequency signal analysis and time-varying higher-order spectra. The paper is organized as follows: Section 1 discusses the need for time-frequency signal analysis (TFSA), as opposed to either time or frequency analysis. Section 2 covers the many faceted developments which occurred in TFSA in the 1980s and early 1990s. It covers bilinear or energetic time-frequency distributions (TFDs). Section 3 deals with a generalization of bilinear TFDs to multilinear Polynomial TFDs and their relationship to time-varying higher order spectra (TVHOS). Section 4 provides a coverage of the Wigner-Ville trispectrum, which is a particular TVHOS, used for analyzing signals affected by Gaussian multiplicative noise. Section 5 is devoted to conclusions.

关键词： Frequency modulation Fermium Interference (communication) Fourier transforms signal to noise ratio Time-frequency analysis signal analysis signal processing signal analyzers Nonlinear optics

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Suboptimal subspace-fitting methods for multidimensional signal parameter estimation

Suboptimal subspace-fitting methods for multidimensional sig...

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advanced algorithms and architectures for signal processing iv 1989

作者： Swindlehurst, A.L. Roy, R. Kailath, T. Information Systems Laboratory Stanford University StanfordCA94305 United States

ESPRIT is a recently introduced algorithm for direction-of-arrival (DOA) and spectral estimation. Its principal advantage is that parameter estimates are obtained directly, without knowledge (and hence storage) of the parameter manifold and without computation or search of some spectral measure. This advantage is achieved by exploiting a certain invariance structure for the spatial or temporal signal samples;for example, in DOA estimation, it is assumed that the sensor array is composed of two identical subarrays separated by a known displacement vector. In many applications, arrays are constructed with invariances in more than one spatial direction. These arrays are typically sampled uniformly, so an additional invariance in time may also be present. In this paper, it is shown how to generalize the geometric concepts of ESPRIT to accommodate arrays with multidimensional invariance structure, and consequently to simultaneously estimate multiple parameters (e.g., azimuth, elevation, frequency, etc.) per source. The framework for this generalization is provided by the fact that ESPRIT is equivalent to a least-squares (LS) fit of the single invariance structure to a set of vectors which span the signal subspace (hence the term subspace-fitting). For ESPRIT, the TLS fit requires no constraints. In the multidimensional case, however, constraints must be applied in order to obtain an "optimal" solution. We will primarily be concerned with suboptimal methods which approximate the optimal solution. Suboptimal here refers to the fact that the constraints are satisfied by a two-stage procedure rather than simultaneously with the LS fit;i.e., an unconstrained fit is performed first, after which the solutions are "projected" in some sense back onto the constraints. © 1989 SPIE. All rights reserved.

关键词： Spectrum analysis

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TIME-RECURSivE COMPUTATION AND REAL-TIME PARALLEL architectures, WITH APPLICATION ON THE MODULATED LAPPED TRANSFORM 4

TIME-RECURSIVE COMPUTATION AND REAL-TIME PARALLEL ARCHITECTU...

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

作者： FRANTZESKAKIS, E BARAS, JS LIU, KJR Univ. of Maryland/College Park (United States)

ISBN: (纸本)0819412767

In this paper, we establish an architectural framework for parallel time-recursive computation. We consider a class of linear operators that consists of the discrete time, time invariant, compactly supported, but otherwise arbitrary kernel functions. We specify the properties of the linear operators that can be implemented efficiently in a time-recursive way. Based on these properties, we develop a routine that produces a time-recursive architectural implementation for a given operator. This routine is instructive for the design of a CAD tool that will facilitate the architecture derivation. Using this background, we design an architecture for the Modulated Lapped Transform (commonly called Modified Discrete Cosine Transform), which has linear cost in operator counts.

关键词： Modulation Computer aided design Computer architecture Fourier transforms Convolution Digital filtering Very large scale integration Radar Video Video processing

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