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

作者： Yao, K Reed, C Hudson, R Lorenzelli, F Univ. of California/Los Angeles (United States)

ISBN: (纸本)0819425842

This paper considers ''blind beamforming'' operations on a wireless network of randomly distributed MEM sensors. Maximum power collection criterion is proposed and results in array weights obtained from the eigenvector corresponding to largest eigenvalue of a matrix eigenvalue problem. Theoretical justification of this approach to an extension of Szego's asymptotic distribution of eigenvalues is provided. Numerical results on propagation time delay estimation and loss of coherency due to propagation disturbances are presented.

关键词： random array array processing beamforming MEM sensor sensor network

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OPTIMAL ARRAY signal-processing IN UNKNOWN NOISE ENVIRONMENTS VIA PARAMETRIC APPROACHES

OPTIMAL ARRAY SIGNAL-PROCESSING IN UNKNOWN NOISE ENVIRONMENT...

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

作者： WU, Q WONG, KM REILLY, JP McMaster Univ. (Canada)

ISBN: (纸本)081940943X

In this paper, under the assumption that noise correlation is spatially limited, using two separated arrays, we propose a new parametric approach for consistent directions of arrival (DOA) estimations in unknown noise environments. The theoretical performance analysis of the proposed DOA estimations is also presented. With the use of the theoretical performance, the best weighting matrices of the parametric criteria have been derived. More significantly, it has been shown that within the best weighted criteria, using canonical decomposition, we can achieve optimal performance of the DOA estimation among a large set of eigendecompositions.

关键词： Interference (communication) Matrices Sensors Autoregressive models Critical dimension metrology Array processing signal to noise ratio Data modeling Surface plasmons signal processing

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HIGHER-ORDER WIGNER DISTRIBUTIONS

HIGHER-ORDER WIGNER DISTRIBUTIONS

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

作者： SWAMI, A Unocal Corp. (United States)

ISBN: (纸本)081940943X

Higher-order Wigner distributions are not unique: definitions differ in the lag separations between the terms used in the time-domain product, as well as in how many of the terms are conjugated. We study a class of third-order WDs (TWD), parameterized by a single parameter (alpha) , and show that there is a duality between the choices of (alpha) equals -1/3 (Gerr's definition) and (alpha) equals -1. Interesting signal attributes, such as the instantaneous frequency, the derivative of the log-magnitude, and the group delay can be recovered from the TWD. Important issues such as aliasing problems and sampling requirements, and whether or not the analytic form of a real signal should be used, are addressed. It is shown theoretically that the TWD with (alpha) equals -1 is particularly useful for the detection of transients in the presence of colored Gaussian noise.

关键词： signal processing Interference (communication) signal detection signal analyzers Time-frequency analysis Fourier transforms Beryllium Smoothing Chromium Digital signal processing

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

作者： FLANDRIN, P LTS-ICPI (France)

ISBN: (纸本)0819404098

In a very recent past, new techniques, referred to as time-scale methods and making use of the so-called wavelet transform, have been proposed for the analysis of nonstationary or time-varying signals. They are basically devoted to the description of signal time evolutions at different observation scales; this is achieved by using shifted and dilated versions of some elementary analyzing waveform along the time axis. The purpose of this paper is twofold: it is intended (1) to provide a brief overview of linear wavelet techniques (continuous and discrete transforms) and bilinear time-scale methods (time-scale energy distributions), and (2) to put them in some common perspective with existing signal processing tools (Gabor decompositions, constant-Q analysis, quadrature mirror filters, wideband ambiguity functions, time-frequency energy distributions). Existing or potentially relevant applications are also pointed out.

关键词： Transform theory Wavelets Electronic filtering Filtering (signal processing) Linear filtering Mirrors signal processing Time-frequency analysis Wavelet transforms

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Computationally efficient systolic architecture for computing the discrete Fourier transform

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IEEE TRANSACTIONS ON signal processing 2005年第12期53卷 4640-4651页

作者： Nash, JG Centar Los Angeles CA 90077 USA

A new high-performance systolic architecture for calculating the discrete Fourier transform (DFT) is described which is based on two levels of transform factorization. One level uses an index remapping that converts the direct transform into structured sets of arithmetically simple four-point transforms. Another level adds a row/column decomposition of the DFT. The architecture supports transform lengths that are not powers of two or based on products of coprime numbers. Compared to previous systolic implementations, the architecture is computationally more efficient and uses less hardware. It provides low latency as well as high throughput, and can do both one- and two-dimensional DFTs. An automated computer-aided design tool was used to find latency and throughput optimal designs that matched the target field programmable gate array structure and functionality.

关键词： computation fast algorithms parallel processing architectures systolic and wavefront architectures transforms

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Adaptive radar CFAR using signal based suppression

Adaptive radar CFAR using signal based suppression

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

作者： Brovko, TTN Whang, YE Hughes Aircraft Co. (United States)

ISBN: (纸本)0819425842

The primary basis for adaptive radar algorithm design is that (1) a Binary Hypothesis formulation with unknown parameters is an adequate test and (2) that radar interference is composed of combinations of thermal noise, self induced clutter, and extraneous noise. This is the typical generalized likelihood formulation that yield the CFAR characteristic for the assumed conditions. implementations have shown that such formulations yield inadequate performance in complex clutter environments. As compensation measure, a secondary CFAR process then addresses the potential violation of this assumption by large ''target-like'' interference such as large Clutter discretes or a large number of targets interfering with each other. In order to detect small targets, an approach based on the Likelihood Statistic provides a technique for optimally suppressing the neighboring large signals. Performance is characterized as a function of a generalized distance and relative signal power ratios in the Joint Space-Time domain.

关键词： Target detection signal detection Doppler effect Distortion Radar Modulation Electronic filtering signal processing Interference (communication) signal to noise ratio

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Some effects of mutual coupling and noise on channel capacity between antenna arrays

Some effects of mutual coupling and noise on channel capacit...

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advanced signal processing algorithms, architectures, and implementations XV

作者： Gans, M.J. Air Force Research Laboratories IFGC 525 Brooks Road Rome NY 13441 United States

No abstract available

关键词： Antennas Amplifiers Interference (communication) Scattering Transmitters Polarization Receivers Wave propagation Radio propagation signal to noise ratio

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Wigner equations of motion for classical systems

Wigner equations of motion for classical systems

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

作者： Galeani, L Cohen, L CUNY New York NY 10021 USA

ISBN: (纸本)0819437611

We present a general procedure for obtaining equations of motion for the Wigner distribution of functions that are governed by ordinary and partial differential equations. For the case of fields we show that in general one must consider Wigner distributions of the four variables, position, momentum, time and frequency. We also show that in general one cannot write an equation of motion for position and momentum however it can be done in some cases, the Schrodinger equation being one such case. Our method leads to an equation of motion for the Schrodinger equation with time dependent potentials in contrast to the result obtained by Wigner and Moyal which was for time independent potentials.

关键词： Ordinary differential equations Partial differential equations Fourier transforms Oscillators Differential equations Acoustics Electromagnetism signal processing Switches

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Information theoretic signal detection on the time-frequency plane

Information theoretic signal detection on the time-frequency...

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Conference on advanced signal processing algorithms architectures and implementations XIII

作者： Aviyente, S Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)0819450782

A comprehensive theory for time-frequency based signal detection has been developed during the past decade. The time-frequency detectors proposed in literature are linear structures operating on the time-frequency representation of the signals and are equivalent to quadratic receivers that are defined in the,time domain. In this paper, an information theoretic approach for signal detection on the time-frequency plane is introduced. In recent years, Renyi entropy has been proposed as an effective measure for quantifying signal complexity on the time-frequency plane and some important properties of this measure have been proven. In this paper, a new approach that uses the entropy functional as the test statistic for signal detection is developed. The minimum error detection algorithm is derived and the performance of this new signal detection method is demonstrated through examples.

关键词： signal detection Time-frequency analysis Detection and tracking algorithms Interference (communication) Sensors Radar Algorithm development Backscatter signal to noise ratio Receivers

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Denoising using time-frequency and image processing methods

Denoising using time-frequency and image processing methods

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

作者： Nelson, D Cristóbal, G Kober, V Cakrak, F Loughlin, P Cohen, L US Dept Def Ft Meade MD 20755 USA

ISBN: (纸本)0819432938

We present a number of methods that use image and signed processing techniques for removal of noise from a signal. The basic idea is to first construct a time-frequency density of the noisy signal. The time-frequency density, which is a function of two variables, can then be treated as an "image", thereby enabling use of image processing methods to remove noise and enhance the image. Having obtained an enhanced time-frequency density, one then reconstructs the signal. Various time frequency-densities are used and also a number of image processing methods are investigated. Examples of human speech and whale sounds are given. In addition, new methods are presented for estimation of signal parameters from the time-frequency density.

关键词： Electronic filtering Interference (communication) Fourier transforms Time-frequency analysis Frequency modulation Fermium Transform theory signal processing Optical filters Filtering (signal processing)

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