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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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OPTIMAL KERNELS FOR TIME-FREQUENCY ANALYSIS

OPTIMAL KERNELS FOR TIME-FREQUENCY ANALYSIS

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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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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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FAST RECURSIVE LEAST-SQUARES algorithms FOR TOEPLITZ MATRICES

FAST RECURSIVE LEAST-SQUARES ALGORITHMS FOR TOEPLITZ MATRICE...

引用

CONF ON advanced signal processing algorithms, architectures, AND implementations 2

作者： QIAO, SZ McMaster Univ. (Canada)

ISBN: (纸本)0819406945

A new derivation of the QR-based fast recursive least squares algorithms for Toeplitz matrices is presented. algorithms for computing Q and R in the QR decomposition of the data matrix are proposed. These algorithms can be efficiently incorporated with the fast recursive least squares algorithm and can be performed only when they are needed.

关键词： Matrices signal processing Algorithm development Chemical elements Computer architecture Radon Analytical research Computer programming Computer simulations Numerical analysis

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Linear invariant systems

Linear invariant systems

引用

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

作者： Cohen, Leon CUNY New York NY 10021 USA

ISBN: (纸本)9780819468451

We formulate in a simple fashion the concept of invariance for a linear system. We show that one must define what we call an "associated Hermitian operator"' which commutes with the system function. We show that it is this Hermitian operator that defines the invariance and also determines the appropriate transform and other connections between input and output relations.

关键词： signal processing

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The instantaneous frequency of a propagating pulse

The instantaneous frequency of a propagating pulse

引用

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

作者： Cohen, L City University of New York Hunter College New York NY 10021 695 Park Ave. United States

We calculate the instantaneous frequency at a fixed position of a propagating pulse in the asymptotic regime. We also discuss the multimode case and relate it to the concept of instantaneous bandwidth.

ISBN: (纸本)0819425842

关键词： signal detection

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Reconfigurable hardware based digital signal processing for wireless communications

Reconfigurable hardware based digital signal processing for ...

引用

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

作者： Page, KJ Arrigo, JF Chau, PM Univ. of California/San Diego (United States)

ISBN: (纸本)0819425842

This paper presents, Index Mapping, a technique to efficiently map a widely used class of digital signal processing algorithms onto a space/time paradigm with immediate representation as the partitioning and scheduling map of a small, I/O efficient, hardware array. When applied to reconfigurable FPGA based hardware architectures with downstream Sea-of-Gates optimization methods, the resulting systems form a dynamic signal processing environment with the best mix of performance and flexibility for wireless applications. Herein, Index Mapping is demonstrated with a mapping of the Fast Fourier Transform (FFT) onto an FPGA computing machine, the ReConfigurable Processor (RCP).

关键词： shuffle linear permutation FFT index map folding

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UNIFYING PARAMETRIZED VLSI JACOBI algorithms AND architectures 4

UNIFYING PARAMETRIZED VLSI JACOBI ALGORITHMS AND ARCHITECTUR...

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

作者： DEPRETTERE, EF MOONEN, M Delft Univ. of Technology (Netherlands) Katholieke Univ. Leuven (Belgium)

ISBN: (纸本)0819412767

Implementing Jacobi algorithms in parallel VLSI processor arrays is a non-trivial task, in particular when the algorithms are parametrized with respect to size and the architectures are parametrized with respect to space-time trade-offs. The paper is concerned with an approach to implement several time-adaptive Jacobi-type algorithms on a parallel processor array, using only Cordic arithmetic and asynchronous communications, such that any degree of parallelism, ranging from single-processor up to full-size array implementation, is supported by a `universal' processing unit. This result is attributed to a gracious interplay between algorithmic and architectural engineering.

关键词： Array processing signal processing Very large scale integration Computer aided design Parallel computing Process control MATLAB Computer architecture Detection and tracking algorithms Electrical engineering

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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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MULTISCALE signal-DETECTION IN FRACTIONAL BROWNIAN-MOTION

MULTISCALE SIGNAL-DETECTION IN FRACTIONAL BROWNIAN-MOTION

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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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