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

共 418 条记录，以下是91-100 订阅

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VLSI Digital signal processing: Some arithmetic issues 6

VLSI Digital Signal Processing: Some arithmetic issues

引用

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

作者： Jullien, GA UNIV WINDSOR VLSI RES GRP WINDSOR ON N9B 3P4 CANADA

ISBN: (纸本)0819422347

In this review paper we discuss selected issues associated with the implementation of arithmetic for VLSI Digital signal Processors. We start with a Silicon Technology Roadmap view of the next decade, in order to grasp some of the issues facing the next generation of VLSI designers, particularly associated with high performance DSP systems. We use this roadmap to open the discussion on the role basic arithmetic operations play in the construction of DSP systems; in particular we look at the interplay between algorithms, architecture, arithmetic representation and circuit implementation. Many of the illustrative examples are taken from work conducted in the VLSI Research Group, University of Windsor over the past few years, including on- going work.

关键词： VLSI Digital signal processing computer arithmetic number systems pipelined circuits

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

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

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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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Identification of a multicomponent signal by a TEA scheme operating in the Time-Frequency plane

Identification of a multicomponent signal by a TEA scheme op...

引用

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

作者： Lo Presti, L Olmo, G Galleani, L Politecn Torino Dipartimento Elettron I-10129 Turin Italy

ISBN: (纸本)0819432938

In this paper, a method for signal component separation, operating in the Time-Frequency (TF) plane and employing a Turbo Estimation Algorithm (TEA), is described. A novel 2D distribution is proposed, named Two Window Spectrogram (TWS), which is free from crossterms and able to yield good time anti frequency resolution. Then, a set of parameters is defined in the time-frequency plane, which are able to carry the relevant information on the signal components. An algorithm of estimation of these parameters is proposed, making use of a TEA scheme to yield improved performance. The algorithm has been tested by simulation, yielding very encouraging performance.

关键词： Thermal weapon sites Time-frequency analysis Detection theory Interference (communication) Prototyping signal processing signal to noise ratio Tantalum Yield improvement Fourier transforms

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PARALLEL IMPLEMENTATION OF SOME FAST ADAPTIVE algorithms ON A DIGITAL signal PROCESSOR (DSP) NETWORK

PARALLEL IMPLEMENTATION OF SOME FAST ADAPTIVE ALGORITHMS ON ...

引用

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

作者： REYNAUD, R CHEBIRA, A DEMOMENT, G Univ. de Paris-Sud (France)

ISBN: (纸本)0819406945

Several important problems in signal processing, such as linear prediction, linear regression, or spectrum factorization, need close-to-Toeplitz matrices to be factored. To solve these problems, several fast algorithms have been derived. They differ by the kind of adaptivity (block processing or exponential weighting of the data) and by the kind of recursion (order or time recursion), but they all have a common vector ladder recursion, involving an hyperbolic rotation. These algorithms are therefore well suited for implementation on an array processor. But there exists a number of applications where an efficient parallel implementation of these algorithms on a DSP network would be very attractive. The redundancy suppression, which is performed in the equations to get a fast algorithm, destroys the processing regularity of the corresponding standard algorithms, which prevents efficient high level parallel implementation. Auxiliary quantities, such as generalized reflections coefficients, are introduced that don't have the same dimensions as primary quantities. As a result there is a loss of efficiency in such tasks processing, and this leads to use array partitioning in as many sub-arrays as the number of DSPs available. If the number m of DSPs is low compared to primary quantities of dimension p (m << p/m) (i.e. a low level parallelism) and if the dimension a of reflection coefficients is also low ((alpha) << p/m), the global efficiency of a parallel implementation on a DSP network may still be interesting, with in addition, the advantages associated to such a network : simple design, simple control. To illustrate this, an application of the method to a Fast Recursive Least Squares algorithm is presented.

关键词： Digital signal processing signal processing Data modeling Algorithm development Array processing Filtering (signal processing) Scattering Digital filtering Matrices Network architectures

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Computer arithmetic for the processing of media signals

Computer arithmetic for the processing of media signals

引用

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

作者： Oklobdzija, VG Farooqui, AA Univ Calif Davis Dept Elect & Comp Engn ACSEL Davis CA 95616 USA

ISBN: (纸本)0819437611

Media signal processing requires high computing power and the algorithms exhibit a great deal of parallelism on low precision data. The basic components of multi-media objects are usually simple integers with 8, 12, or 16 bits of precision. In order to support efficient processing of media signals, Instructions Set Architecture (ISA) of the traditional processors requires modifications. In this paper, we present the quantitative analysis and the computational complexity required to perform media processing. Main classes of instructions that are needed for the required level of performance of the Media Processor are identified. Their efficient implementation and effect on the processor data-path is discussed. The main operations required in media processing are Addition (with or without saturation), Multiplication (with or without rounding), Sum of Products, and Average of two numbers.

关键词： ISG SIMD VLSI media processor MPEG media arithmetic IDCT FFT addition multiplication

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Towards a theory of information processing on the time-frequency plane

Towards a theory of information processing on the time-frequ...

引用

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

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

ISBN: (纸本)0819454974

Information processing theory aims to quantify, how well signals encode information and how well systems process information. Time-frequency distributions have been used to represent the energy distribution of time-varying signals for the past twenty years. There has been a lot of research on various properties of these representations. However, there is a general lack of quantitative analysis in describing the amount of information encoded into a time-frequency distribution. This paper aims to quantify how well time-frequency distributions represent information by using information-theoretic distance measures. Different distance measures, such as Kullback-Leibler distance, Renyi distance, will be adapted to the time-frequency plane. Their performance in quantifying the information in a given signal will be compared. A sensitivity analysis for different distance measures will be carried out to assess their robustness under perturbation. Different example signals will be considered for illustrating the information processing in time-frequency distributions.

关键词： Data processing

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BOOTSTRAP - THEORY AND APPLICATIONS 4

BOOTSTRAP - THEORY AND APPLICATIONS

引用

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

作者： ZOUBIR, AM Queensland Univ. of Technology (Australia)

ISBN: (纸本)0819412767

This is a review of bootstrap methods, concentrating on basic ideas and applications. It begins with an exposition of the bootstrap principle and gives several examples of its use. Bootstrap methods for testing statistical hypotheses are then reviewed and an analysis of accuracy of bootstrap tests is provided. We discuss how the bootstrap can be used to estimate variance stabilizing transformations that are crucial for the level of accuracy of bootstrap tests. Finally, we describe an application of multiple bootstrap tests to the problem of finding optimum locations of vibration sensors for knock detection in spark ignition engines.

关键词： Statistical analysis Sensors signal processing Combustion Fourier transforms signal to noise ratio Autoregressive models Error analysis Monte Carlo methods Data modeling

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Multi-scale blind deconvolution of sensor array signals via scale transform

Multi-scale blind deconvolution of sensor array signals via ...

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

作者： Izzetoglu, M Akgül, T Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)0819432938

In this paper we introduce a. multi-scale deconvolution technique performed in the scale-domain. In sensor array applications such as in radar, sonar and seismic processing, the sensor outputs are modeled as the convolution of the unknown source signal with various unknown system impulse responses that are scaled versions of each other with unknown scale parameters. In many applications these signals or the scaling parameters are needed to be estimated only from the sensor outputs. In our earlier work, we estimated the unknown scale parameters by using properties of the scale transform and then employed existing deconvolution algorithms. Here, we derive the multiscale blind deconvolution algorithm in the scale transform domain. The performance of the method is illustrated using simulation examples.

关键词： Sensors Deconvolution Reflectors Convolution signal processing Algorithm development Computer simulations Electronic filtering Image processing Radar

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Web-based distributed processing tools for crop classification using CGDI databases

Web-based distributed processing tools for crop classificati...

引用

Conference on advanced signal processing algorithms architectures and implementations XIII

作者： Lampropoulos, G Chan, J Bardas, A McNairn, H Low, B AUG Signals Ltd Toronto ON M4V 1K7 Canada

ISBN: (纸本)0819450782

This paper is devoted to change detection for precision agriculture. It presents a new change detection methodology and an overview of an online image processing tool (***) with direct applicability for crop classification. The change detection algorithms discussed in the paper will be implemented on the web. They preserve the fine details of the pixel changes and furthermore may be used for crop classification. Image registration, calibration/normalization, pixel level transformations, clutter suppression and pixel level change detection are discussed and new technologies are presented. The effectiveness of the proposed technology is being tested on real SAR data with partial truthing.

关键词： crop classification change detection distributed processing

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Random array processing for micromachined sensor network

Random array processing for micromachined sensor network

引用

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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