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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

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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...

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

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

引用

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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Adaptive radar CFAR using signal based suppression

Adaptive radar CFAR using signal based suppression

引用

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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