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

共 420 条记录，以下是341-350 订阅

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RECENT RESULTS IN ADAPTIVE ARRAY DETECTION

RECENT RESULTS IN ADAPTIVE ARRAY DETECTION

引用

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

作者： KALSON, SZ Lincoln Lab./MIT (United States)

ISBN: (纸本)0819406945

Some recent results in the theory of adaptive array detection are presented. Detection curves are given for various detection algorithms. These detection algorithms are suitable for nulling out noise or interference sources in which the noise statistics are to be estimated from target- free data. They share the constant false alarm rate property, so that their false alarm rate can be set without knowledge of the noise covariance matrix. Also considered is a detection algorithm employing diagonal loading.

关键词： Sensors signal detection Detection and tracking algorithms signal attenuation Phased arrays signal processing Detector arrays Target detection Monte Carlo methods signal to noise ratio

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ARITHMETIC UNIT BASED ON A HIGH-SPEED MULTIPLIER WITH A REDUNDANT BINARY ADDITION TREE

ARITHMETIC UNIT BASED ON A HIGH-SPEED MULTIPLIER WITH A REDU...

引用

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

作者： TAKAGI, N Kyoto Univ. (Japan)

An arithmetic unit based on a high-speed multiplier with a redundant binary addition tree is proposed. It is efficient for numerical computations with iteration of multiplications and addition/subtractions. A new mult... 详细信息

ISBN: (纸本)0819406945

关键词： Binary data signal processing Americium Digital signal processing Computer architecture Information science Laser induced breakdown spectroscopy Lithium Silicon Very large scale integration

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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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INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMANCE BOUNDS AND APPLICATIONS TO SOURCE LOCALIZATION

INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMAN...

引用

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

作者： ARUN, KS LIANG, RM Univ. of Illinois/Urbana-Champaign (United States)

ISBN: (纸本)0819406945

Estimation and tracking of the instantaneous amplitudes and frequencies of superimposed, slowly varying narrowband signals is a difficult signal processing problem that shows up in many applications. Our approach to this problem is to achieve global noise averaging via SVD-based rank reduction of a matrix constructed from the entire data record. Compared to methods that use local noise averaging using many smaller matrices, the strength of the new approach is in affecting better noise reduction at a lower computational cost. Moreover, no model is needed for the variation of the amplitudes and frequencies with time. In this paper, Cramer-Rao bounds for the variance of the error in tracking the instantaneous amplitudes and frequencies (without assuming a parametric model for their variation with time) will be presented. In addition, we will also show how the algorithm can be used on sensor array data to estimate range and direction of multiple narrow-band sources.

关键词： Sensors signal processing Detection and tracking algorithms signal to noise ratio Source localization Data modeling Denoising Matrices Array processing Data analysis

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INSTANTANEOUS QUANTITIES AND UNCERTAINTY CONCEPTS FOR signal DEPENDENT TIME-FREQUENCY DISTRIBUTIONS

INSTANTANEOUS QUANTITIES AND UNCERTAINTY CONCEPTS FOR SIGNAL...

引用

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

作者： JONES, G BOASHASH, B Queensland Univ. of Technology (Australia)

ISBN: (纸本)0819406945

This paper presents a review of some concepts associated with time-frequency distributions-- the instantaneous frequency, group delay, instantaneous bandwidth, and marginal properties-- and generalizes them in time-frequency via rotation of coordinates. This work emphasizes the need to examine time-frequency distributions in the general time-frequency plane, rather than restricting oneself to a time and/or frequency framework. This analysis leads to a generalized uncertainty principle, which has previously been introduced in radar theory. This uncertainty principle is invariant under rotation in the time-frequency plane, and should be used instead of the traditional definition of Gabor. It is desired to smooth a time-frequency distribution that is an energy density function into one that is an energy function. Most distributions are combinations of density and energy functions but the Wigner-Ville distribution is purely a density function. By using a local version of the generalized uncertainty principle, the Wigner- Ville distribution is smoothed into a signal dependent spectrogram using an iterative algorithm. It is believed that this procedure may represent, in some way an optimum removal of signal uncertainty in the time-frequency plane.

关键词： Time-frequency analysis Smoothing signal processing Radar signal processing signal analyzers Fermium Frequency modulation Algorithm development Radar Detection theory

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CORDIC processor architectures

CORDIC processor architectures

引用

advanced signal processing algorithms, architectures, and implementations II

作者： Boehme, Johann F. Timmermann, D. Hahn, H. Hosticka, Bedrich J. Ruhr Univ. Bochum Bochum Federal Republic of Germany

ISBN: (纸本)0819406945

As CORDIC algorithms receive more and more attention in elementary function evaluation and signal processing applications, the problem of their VLSI realization has attracted considerable interest. In this work we review the CORDIC fundamentals covering algorithm, architecture, and implementation issues. Various aspects of the CORDIC algorithm are investigated such as efficient scale factor compensation, redundant and non-redundant addition schemes, and convergence domain. Several CORDIC processor architectures and implementation examples are discussed.

关键词： signal processing

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New algorithms for on-line computation of elementary functions

New algorithms for on-line computation of elementary functio...

引用

advanced signal processing algorithms, architectures, and implementations II

作者： Kla, Sylvanus Mazenc, Christophe Merrheim, Xavier Muller, Jean-Michel M. Ecole Normale Superieure de Lyon Lyon Cedex 07 France

ISBN: (纸本)0819406945

We present here some algorithms for on-line computation of elementary functions. These algorithms use shift-and-add as elementary step and need signed digit representations of numbers. Then, we give some theoretical results about on-line computation of functions. For instance, we show that a finite automaton (in practice a bounded size and memory operator) can compute in on-line only piecewise affine functions.

关键词： signal processing

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On-line arithmetic for recurrence problems

On-line arithmetic for recurrence problems

引用

advanced signal processing algorithms, architectures, and implementations II

作者： Ercegovac, Milos D. Univ. of California/Los Angeles Los Angeles CA USA

An arithmetic-level approach to increasing computation rate in solving recurrence problems is discussed. The approach, based on on-line arithmetic principles, is discussed in problems such as root finding and recursiv... 详细信息

ISBN: (纸本)0819406945

关键词： signal processing

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Resolution advantages of quadratic signal processing

Resolution advantages of quadratic signal processing

引用

advanced signal processing algorithms, architectures, and implementations II

作者： Atlas, Les E. Fang, Jing Loughlin, Patrick Music, Wayne Univ. of Washington Seattle WA USA

ISBN: (纸本)0819406945

In this paper, we show how quadratic time-frequency representations are a generalization of the spectrogram and we review our results for time-frequency analysis and display of chirps and speech. We then show comparative performance on phase-shifted keyed communication signals. The concept of quadratic filtering is then introduced and linked to Teager's energy detector and the resolution advantages over linear filtering are demonstrated.

关键词： signal processing

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EFFECT OF RESAMPLING ON THE MUSIC ALGORITHM WHEN APPLIED TO INVERSE SYNTHETIC APERTURE RADAR

EFFECT OF RESAMPLING ON THE MUSIC ALGORITHM WHEN APPLIED TO ...

引用

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

作者： NASH, G Defence Science and Technology Organization and Univ. of South Australia (Australia)

ISBN: (纸本)0819406945

Inverse synthetic aperture radar (ISAR) is a radar imaging method by which the rotation of a target is utilized to produce a two dimensional image. To achieve high resolution in both range and cross range, a series of stepped frequency waveforms are transmitted. These sample the target's radar response in frequency and time. Frequency transforms to time, which is proportional to range, and time transforms to doppler frequency, which is proportional to cross range. Therefore a two dimensional Fourier transform can be applied to the two dimensional data set to produce a radar image. However this is an approximation as the data is in a polar format, which only approximates a rectangular grid. Therefore resampling (interpolation) is required to change the grid from a polar to a rectangular format. The resampling in this case is straightforward. In an attempt to obtain higher resolution images, the Fourier transform has been replaced by the multiple signal classification (MUSIC) algorithm. The justification for this is that the targets of interest are manmade and so have sharp edges and corners. Therefore they consist of a number of corner reflectors with a background of continuous reflectors. The corner reflectors by their nature will generally give much stronger reflections, so one can with a certain degree of accuracy, approximate the ship as a collection of corner reflectors. Over the small change in aspect angle for which ISAR imaging is performed, corner reflectors can be approximated as point scatterers. This leads to the data being modeled as a collection of complex exponentials with added white Gaussian noise. The noise being due to thermal noise in the radar system. This type of data set is ideal for the two dimensional MUSIC algorithm. There are two major difficulties in applying the MUSIC algorithm to ISAR imaging. First, the MUSIC estimator is more sensitive to the sampling grid being polar than the Fourier transform is. Second, the resampling is less effect

关键词： Fourier transforms Radar Reflectors Computer simulations Interference (communication) Data modeling Detection and tracking algorithms Image resolution signal processing Transform theory

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