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

共 462 条记录，以下是411-420 订阅

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EFFICIENT BEAM-BASED ADAPTIVE processing FOR PLANAR ARRAYS

EFFICIENT BEAM-BASED ADAPTIVE PROCESSING FOR PLANAR ARRAYS

引用

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

作者： KRATZER, SG Supercomputing Research Ctr. (United States)

ISBN: (纸本)0819404098

Beam-based adaptive processing is an economical way to achieve good interference rejection performance from an adaptive receiving array, at much less computational cost than full element-based methods. However, to exploit this potential for planar arrays it is necessary to identify, in real time, which beams must be retained for adaptive concellation. This paper analyzes the beam-selection problem and presents a computationally efficient algorithm that performs real-time beam selection.

关键词： signal processing signal to noise ratio Statistical analysis Algorithm development Beam analyzers Electroluminescence Cobalt Electronics Fourier transforms Phased arrays

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DISTRIBUTIONS CONCENTRATED ALONG THE INSTANTANEOUS FREQUENCY

DISTRIBUTIONS CONCENTRATED ALONG THE INSTANTANEOUS FREQUENCY

引用

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

作者： COHEN, L Hunter College/CUNY (United States)

We show that for purely frequency modulated signals one can always find a distribution which is infinitely concentrated along its instantaneous frequency. For signals that are both frequency and amplitude modulated we... 详细信息

ISBN: (纸本)0819404098

关键词： Frequency modulation Modulation Fermium Phase shift keying Amplitude modulation Algorithm development Phase modulation Time-frequency analysis signal analysis Tellurium

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RELATIONSHIPS BETWEEN THE FOURIER-TRANSFORM AND THE WAVELET TRANSFORM

RELATIONSHIPS BETWEEN THE FOURIER-TRANSFORM AND THE WAVELET ...

引用

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

作者： RESNIKOFF, HL BURRUS, CS Aware Inc. (United States) Aware Inc. and Rice Univ. (United States)

ISBN: (纸本)0819404098

This paper derives the relationship between the coefficients of the Fourier expansion of a periodic signal and the coefficients of the wavelet expansion of the same signal. The formula derived shows how the Fourier concept of frequency and the wavelet concept of scale are related and how the wavelet coefficients display the information contained in the signal in a new way. The relationship also shows how the wavelet expansion can be used to approximately calculate the Fourier coefficients.

关键词： Wavelets Fourier transforms Wavelet transforms Computing systems Digital signal processing Mathematical modeling signal processing Systems modeling Feature extraction Mathematics

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FREQUENCY VERSUS TIME-DELAY APPROACH FOR ACQUIRING MULTIPLE UNKNOWN CHIRP signalS

FREQUENCY VERSUS TIME-DELAY APPROACH FOR ACQUIRING MULTIPLE ...

引用

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

作者： HOU, HS NG, W The Aerospace Corp. (United States)

ISBN: (纸本)0819404098

A frequency versus timedelay (FVTD) technique is introduced to acquire unknown parameters of received chirp signals. This technique can precisely determine a single chirp clearly distinguish completely overlapped upchirp and downchirp and is also capable of realizing various overlapped multiple chirp signals. The basic implementation concept of this approach is relatively simple. We first employ a bank of bandpass filters to noncoherently process the incoming chirps. The filtered and sampled signals are then shifted into a set of frequency time and power distribution sequences which provide enough information for acquiring the unknown parameters of the received chirp signals. Examples and figures are used to illustrate this procedure.

关键词： signal detection signal processing Filtering (signal processing) Electronic filtering Radar Silicon Linear filtering Electroluminescence Frequency modulation Aerospace engineering

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HIGHER-ORDER STATISTICS (SPECTRA) AND THEIR APPLICATION IN signal-processing

HIGHER-ORDER STATISTICS (SPECTRA) AND THEIR APPLICATION IN S...

引用

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

作者： MENDEL, JM Univ. of Southern California (United States)

ISBN: (纸本)0819404098

Most real-world signals are non-Gaussian. If they were Gaussian then they could be completely characterized by their first- and second-order statistics, because the probability density function (p.d.f.) for a Gaussian signal is completely described by these statistics. Because most real-world signals are not Gaussian, we need to use more than just first- and second-order statistics, i.e., we need to use "higher-order statistics." We could use higher-order moments, e.g., triplecorrelations, quadruple-correlations, etc., or we could use cumulants. Cumulants are related to higher-order moments, but do not necessarily always equal these moments. Reasons for preferring cumulants over moments are explained below.

关键词： signal processing Acoustics Interference (communication) Statistical analysis Process modeling signal detection Systems modeling Automatic control Fourier transforms signal analyzers

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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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引用

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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algorithms FOR INSTANTANEOUS FREQUENCY ESTIMATION - A COMPARATIVE-STUDY

ALGORITHMS FOR INSTANTANEOUS FREQUENCY ESTIMATION - A COMPAR...

引用

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

作者： BOASHASH, B OSHEA, P ARNOLD, MJ Univ. of Queensland (Australia)

ISBN: (纸本)0819404098

This paper examines the problem of instantaneous frequency (IF) estimation for Frequency Modulated (FM) signals imbedded in white Gaussian noise. It reviews currently available techniques and in addition proposes some new ones based on a modelling of the signal phase as a polynomial. Both linear least-squares techniques and Maximum Likelihood (ML) techniques are investigated for estimating the polynomial coefficients. It is seen that the linear least squares approach is efficient (i. e. unbiased and meets the Cramer-Rao bounds) for high SNR while the ML scheme is efficient for a much larger range of SNR. Theoretical lower variance bounds are given for estimating the polynomial coefficients and are compared with the results of simulations. Guidelines are given as to which estimation method should be used for a given signal class and signal to Noise Ratio (SNR) level.

关键词： signal to noise ratio Fermium Frequency modulation Interference (communication) Modeling Modulation

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SEGMENTATION AND CLASSIFICATION OF NASAL PHONEMES BASED ON THEIR TIME-FREQUENCY REPRESENTATION

SEGMENTATION AND CLASSIFICATION OF NASAL PHONEMES BASED ON T...

引用

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

作者： VELEZ, E ABSHER, R Simon Fraser Univ. (Canada) Univ. of Vermont (United States)

ISBN: (纸本)0819404098

Time-frequency analysis of speech provides detailed information which may be used for the study of its production mechanisms and for recognition purposes. The smoothed Wigner-Ville distribution can be used as an effective speech analysis tool when a high temporal resolution is required. Smoothing demands a careful balance between resolution and suppression of interferences in the distribution while taking into account the characteristics of the speech signal. The resulting representation is applied to analyze nasal phonemes and transitions in continuous speech and shown to unveil important transitory features not revealed by the spectrogram and to result in accurate segmentation and discrimination of their place of articulation.

关键词： Smoothing Time-frequency analysis Temporal resolution signal analyzers Analytical research Image segmentation signal attenuation Spectral resolution Shape analysis Statistical analysis

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MULTISCALE signal-DETECTION IN FRACTIONAL BROWNIAN-MOTION

MULTISCALE SIGNAL-DETECTION IN FRACTIONAL BROWNIAN-MOTION

引用

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

作者： TEWFIK, AH KIM, M Univ. of Minnesota (United States)

A multiresolution model of a discrete fractional Brownian motion is developed. The model leads to a multiscale algorithm for constructing the optimal filter that must be used in detection problems involving a fraction... 详细信息

ISBN: (纸本)0819404098

关键词： signal detection Motion models Linear filtering Optimal filtering Detection and tracking algorithms Interference (communication) Sensors Algorithm development Atmospheric modeling Physics

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