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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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ERROR PROPAGATION OF SOME FAST RLS algorithms 4

ERROR PROPAGATION OF SOME FAST RLS ALGORITHMS

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

作者： QIAO, SZ McMaster Univ. (Canada)

ISBN: (纸本)0819412767

The fast recursive least squares (RLS) algorithms have wide applications in signal processing and control. They are computationally efficient. Thus their stability is of major concern. In this paper, we investigate the error propagation and stability of some typical fast RLS algorithms. Through a random example, we show that a typical conventional fast RLS algorithm is weakly unstable in computing both the residuals and the gain vectors and a QR based algorithm is expected to be weakly stable in computing the residuals but weakly unstable in computing the gain vectors. We propose an error correction scheme for computing the gain vectors.

关键词： Algorithm development Condition numbers MATLAB Lead Process control signal processing Analytical research

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Wide-band array signal processing via spectral smoothing

Wide-band array signal processing via spectral smoothing

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advanced algorithms and architectures for signal processing iv 1989

作者： Xu, Guanghan Kailath, Thomas Information Systems Laboratory Stanford University StanfordCA94303 United States

Many efficient signal subspace algorithms have been published on direction finding of narrow-band sources, e.g. MUSIC, ESPRIT. The difficulty of extending these methods to the wide-band cases lies in the fact that the signal vectors from each source doesn't span an one-dimensional subspace. Therefore, all the signal-subspace based algorithms will fail in case of wide-band sources. Recently, several approaches [2-4], [6-7] have been suggested to resolve this problem, e.g., the spectral-spatial approach [2], the coherent signal-subspace (CSS) method [3], the modal decomposition algorithm [4]. Each of these algorithms has one or several of the following shortcomings: high computational cost, impractical signal model assumption, requirement of initial DOA estimate, complete knowledge of array manifold, etc. In this paper, we present a new and more efficient method for estimating DOA's of multiple wide-band sources via spectral smoothing. The proposed algorithm requires much less computational cost than the existing approaches and doesn't need initial DOA estimate, or specific signal model (ARMA, identical spectrum). If the array of sensors satisfies invariant displacement condition, ESPRIT can be used to eliminate the need of complete knowledge of array manifold and to reduce computational load and memory requirement. Under certain scenarios, the analytical analysis and computer simulation show the better performance of the proposed algorithm than that of the existing approaches mentioned above. © 1989 SPIE. All rights reserved.

关键词： Computational efficiency

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HIGHLY PIPELINED VLSI ARCHITECTURE FOR COMPUTATION OF FAST FOURIER-TRANSFORMS 4

HIGHLY PIPELINED VLSI ARCHITECTURE FOR COMPUTATION OF FAST F...

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

作者： YEH, HJ Ecole Normale Superieure de Lyon (South Korea)

ISBN: (纸本)0819412767

An on-chip VLSI architecture for computation of Fourier transforms is presented. It performs the arithmetic operations in a digit-level pipeline fashion. For this purpose, the implementation of arithmetic operators is based on on-line (i.e., digit-serial and most significant digit first) arithmetic, and the transforms are performed by a parallel-pipeline version of the Cooley- Tukey fast Fourier transform (FFT) algorithm.

关键词： Fourier transforms Very large scale integration Transform theory Binary data Computer architecture Computing systems Matrices Network architectures Digital signal processing signal processing

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FAST PROTOTYPING OF DATAPATH-INTENSivE architectures

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IEEE DESIGN & TEST OF COMPUTERS 1991年第2期8卷 40-51页

作者： RABAEY, JM CHU, C HOANG, P POTKONJAK, M University of California Berkeley USA

A description is given of Hyper, a synthesis environment for real-time systems with datapath-intensive architectures. Hyper uses a single, global quality measure throughout the system to drive the exploration of the design space. This approach effectively merges the allocation of hardware, the application of transformations, and the handling of hierarchy in a consistent way. Hyper's modular organization around a central database also allows new software modules to be introduced easily. The discussion covers behavioral specification, module selection, exploring the design space, transformations, scheduling and assignment, and hardware mapping. Four versions of an IIR filter generated using Hyper and Lager iv are compared. It is seen that layouts generated using Hyper are more area efficient than layouts done using the more traditional methods based on one-to-one mapping or the use of multiprocessors.

关键词： Prototypes Hardware Real time systems Frequency Clocks Pipeline processing signal processing algorithms Viterbi algorithm Field programmable gate arrays Costs

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signal EXTRAPOLATION IN NOISY DATA WITH WAVELET REPRESENTATION 4

SIGNAL EXTRAPOLATION IN NOISY DATA WITH WAVELET REPRESENTATI...

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

作者： LIN, LC KUO, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819412767

A new approach for signal extrapolation based on wavelet representation known as scale-time limited extrapolation and a denoising process is investigated in this research. We first examine a new signal modeling technique using wavelets and the corresponding scale-time limited signal extrapolation algorithm. Then, the sensitivity of the algorithm to noise is discussed, and a denoising algorithm based on the time-localization property of the wavelet transform is proposed. By integrating the denoising process and the iterative scale-time limited extrapolation algorithm, we obtain a very robust signal extrapolation algorithm for noisy data. A simulation result of signal extrapolation from noisy observed data is presented to illustrate the performance of the proposed robust signal extrapolation algorithm.

关键词： Wavelets Denoising Interference (communication) signal processing signal to noise ratio Algorithm development Evolutionary algorithms Image processing Reconstruction algorithms Wavelet transforms

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Array manifold effects in signal subspace techniques

Array manifold effects in signal subspace techniques

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advanced algorithms and architectures for signal processing iv 1989

作者： Speiser, Jeffrey M. Arnold, Hal Naval Ocean Systems Center San DiegoCA92152-5000 United States

This paper examines the effect of array geometry on signal detection and signal estimation using the Schmidt MUSIC algorithm and related techniques. Upper and lower bounds are found for the separation between signal and noise eigenvalues as a function of the eigenvalues of the beam response matrix and the source correlation matrix. It is shown that the condition number of the steering phase shift matrix is determined almost entirely by its smallest singular value. Limited numerical evaluations for planar arrays suggest that the smallest singular value is determined by arrival spacing relative to array aperture, and is insensitive to the details of the array geometry. For the special case when all arrivals are closely spaced, it is shown that the steering phase shift matrix is the product of a Vandermonde matrix depending on the arrival spacing with a second matrix determined by the array geometry. © 1989 SPIE. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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SYSTEMATIC CONSTRUCTION OF ORDER-RECURSivE LS ESTIMATION algorithms WITH ELEMENTARY ORTHOGONAL TRANSFORMATIONS 4

SYSTEMATIC CONSTRUCTION OF ORDER-RECURSIVE LS ESTIMATION ALG...

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

作者： LING, F Motorola (United States)

ISBN: (纸本)0819412767

This paper demonstrates that order-recursive least squares (ORLS) algorithms based on orthogonal transformations and hyperbolic transformations can be systematically constructed in two steps. The first step is to determine the structure of the ORLS algorithm according to the property of the data vector in the LS estimation and the requirements to the output. The second step is to determine the proper implementation of building blocks of the ORLS structure using orthogonal or hyperbolic transformations. The canonical ORLS structure and some possible orthogonal/hyperbolic implementations of their building blocks are presented. It is also shown that some of the orthogonal transformations are only applicable to certain types of ORLS structures and not to others.

关键词： Algorithm development Error analysis Detection and tracking algorithms Digital signal processing Expectation maximization algorithms Statistical analysis Factor analysis Magnesium Roads Telecommunications

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INFORMATION IN THE TIME-FREQUENCY PLANE AND ITS APPLICATIONS TO ADAPTivE RADAR signal-processing 4

INFORMATION IN THE TIME-FREQUENCY PLANE AND ITS APPLICATIONS...

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

作者： BHATTACHARYA, TK JONES, G HAYKIN, S McMaster Univ. (Canada)

ISBN: (纸本)0819412767

The detection of small floating targets in an ocean environment is discussed in this paper. Because of the time-varying nature of the growler's radar returns, classical detection schemes do not work well. It is shown that these problems can be overcome if the detection is performed in the joint time-frequency plane. The effectiveness of the detection scheme is demonstrated by looking at two specific aspects of the problem: (1) detection of the target when the radar is scanning a certain sector, and (2) when the radar is dwelling in a certain azimuthal direction for a longer period of time.

关键词： Radar Time-frequency analysis Target detection Polarization signal detection Doppler effect Detection and tracking algorithms Feature extraction Fourier transforms Radar signal processing

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MOBILE RADIO PROPAGATION CHANNEL MODELING - signal-processing CHALLENGES 4

MOBILE RADIO PROPAGATION CHANNEL MODELING - SIGNAL-PROCESSIN...

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

作者： SENADJI, B CNET ETP (Australia)

ISBN: (纸本)0819412767

This paper addresses the problem of mobile radio propagation channel modeling and underlines the need for further research in this domain. The paper first describes three characteristics of the mobile radio propagation channel which are the propagation-path loss, the time-varying aspect, and the multipath characteristics. It then describes the properties and limitations of the present methods used for channel modeling. The main limitation concerns the non-stationary aspect of the mobile radio propagation channel. Two signal processing approaches are proposed to remedy the problem. Finally, the paper addresses the definition of validation criteria in order to evaluate and quantify the accuracy of each proposed model.

关键词： Radio propagation Atmospheric propagation Telecommunications Doppler effect signal attenuation Systems modeling signal processing Autoregressive models Wave propagation Statistical modeling

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