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FFT algorithms FOR PRIME TRANSFORM SIZES AND THEIR implementations ON VAx, IBM3090VF, AND IBM RS/6000

IEEE TRANSACTIONS ON signal processing 1993年第2期41卷 638-648页

作者： LU, C COOLEY, JW TOLIMIERI, R AWARE INC CAMBRIDGEMA 02142 UNIV RHODE ISL DEPT ELECT ENGNKINGSTONRI 02881 CUNY CITY COLL DEPT ELECT ENGNNEW YORKNY 10031

Variants of the Winograd FFT algorithm for prime transform size are derived that offer options as to operational counts and arithmetic balance. Their implementations on VAx, IBM 3090 VF, and IBM RS/6000 are discussed. For processors that perform floating-point addition, floating-point multiplication, and floating-point ''multiply-add'' with the same time delay, variants of the FFT algorithm have been designed such that all floating-point multiplications can be overlapped by using ''multiply-add.'' The use of a tensor product formulation, throughout, gives a means for producing variants of algorithms matching to computer architectures.

关键词： Fast Fourier transforms Arithmetic Delay effects Algorithm design and analysis Tensile stress Computer architecture

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Optimal inversions of uncertain matrices - an estimation and control perspective

Optimal inversions of uncertain matrices - an estimation and...

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conference on advanced signal processing algorithms architectures and implementations xIII

作者： Tao, KM SRI Int Menlo Pk CA 94025 USA

ISBN: (纸本)0819450782

Many system and signal related problems involve matrix inversion of some kind. For example, in estimation and signal recovery applications, inversion of the channel response matrix is often required in order to estimate the source signals. In the control of multivariable systems, inverting a process gain matrix may be called for in order to deliver appropriate control actions. There are situations where these matrices should be considered as uncertain (or random): for example, when the process/channel environments vary randomly, or when significant uncertainties are involved in estimating these matrices. Based on a unified approach, this paper considers both the right inversion (for control) and the left inversion (for estimation) of random matrices. In both cases, minimizing a statistical error function leads to the determination of optimal or linear optimal inversion. Connections with related techniques, such as the total least squares (TLS), the ridge regression, the Levenberg-Marquardt algorithm and the regularization theory are discussed. A variant Kalman filtering problem with randomly varying measurement gain matrix is among the applications addressed. Monte Carlo simulation results show substantial benefits by taking process/model uncertainty into consideration.

关键词： statistical inversion of uncertain matrices signal processing estimation control Kalman filtering with random measurement matrix channel equalization

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Simultaneous operation of two over-the-horizon radars

Simultaneous operation of two over-the-horizon radars

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conference on advanced signal processing algorithms, architectures, and implementations xIV

作者： Zhang, YM Frazer, GJ Amin, MG Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Def Sci & Technol Org Intelligence Surveillance & Reconnaissance Div Edinburgh SA 5111 Australia

ISBN: (纸本)0819454974

Over the horizon radar (OTHR) is a well developed sensor technology in established use for long-range air and surface surveillance. More detailed information about the targets can be achieved by using simultaneous operation of multiple OTHRs. However, a key limitation with HF radar is the conflict between selection of an appropriate operating frequency and the demand for radar waveform bandwidth commensurate with the range resolution requirement of the radar. In this paper, we consider the simultaneous operation of two over-the-horizon radar systems that use the same frequency band with different chirp waveforms to respond the advanced wide-area surveillance needs without reducing, the pulse repetitive frequency. A cross-radar interference cancellation technique is proposed and shown to be effective.

关键词： Radar Doppler effect Receivers Surveillance Time-frequency analysis Fermium Frequency modulation signal processing Knowledge management Sensor technology

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Time-frequency analysis for the study of phase synchrony in the brain

Time-frequency analysis for the study of phase synchrony in ...

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conference on advanced signal processing algorithms, architectures, and Implementantions xVIII

作者： Aviyente, Selin Evans, Westley Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)9780819472946

The quantification of synchrony is important for the study of large-scale interactions in the brain. Current synchrony measures depend on the energy of the signals rather than the phase, and cannot be reliably used as measures of neural synchrony. Moreover, the current methods are insufficient since they are limited to pairs of signals. These approaches cannot quantify the synchrony across a group of electrodes and over time-varying frequency regions. In this paper, we propose two new measures for quantifying the synchrony between both pairs and groups of electrodes using time-frequency analysis. The proposed measures are applied to electroencephalogram (EEG) data to quantify neural synchrony.

关键词： Phase measurement Time-frequency analysis Brain Electrodes Electroencephalography Mode locking Wavelets Iterated function systems signal analyzers Wavelet transforms

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A near canonic double-based number system (DBNS) with applications in digital signal processing 6

A near canonic double-based number system (DBNS) with applic...

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

作者： Dimitrov, V SadeghiEmamchaie, S Jullien, GA Miller, WC UNIV WINDSOR VLSIRES GRPWINDSORON N9B 3P4CANADA

ISBN: (纸本)0819422347

In this paper we explore a new number system which uses a double base. The representation of the numbers has a very simple geometric interpretation, allowing potentially fast implementation of the basic arithmetic operations. The transformation of the integers into minimal form, however, leads to some problems associated with transcendental number theory, and we identify and open the discussion on these problems. An intriguing implementation vehicle, which has some of the properties associated with symbolic substitution in optical computing, is the use of Cellular Neural Networks (CNNs) to perform digit reduction. Brief details are presented on CNN implementation, and a system-level example is shown in order to justify the applicability of the proposed theory in digital signal processing. © 1996 SPIE. All rights reserved.

关键词： number systems computer arithmetic number theory diophantine equations symbolic substitution Cellular Neural Networks digital filtering

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Design tradeoffs using truncated multipliers in FIR filter implementations

Design tradeoffs using truncated multipliers in FIR filter i...

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conference on advanced signal processing algorithms, architectures and implementations xII

作者： Walters, EG Schulte, MJ Lehigh Univ Comp Sci & Engn Dept Comp Architecture & Arithmet Lab Bethlehem PA 18015 USA

ISBN: (纸本)0819445584

This paper presents a general FIR filter architecture utilizing truncated tree multipliers for computation. The average error, maximum error, and variance of error due to truncation are derived for the proposed architecture. A novel technique that reduces the average error of the filter is presented, along with equations for computing the signal-to-noise ratio of the truncation error. A software tool written in Java is described that automatically generates structural VHDL models for specific filters based on this architecture, given parameters such as the number of taps, operand lengths, number of multipliers, and number of truncated columns. We show that a 22.5 % reduction in area can be achieved for a 24-tap filter with 16-bit operands, 4 parallel multipliers, and 12 truncated columns. For this implementation, the average reduction error is only 9.18 x 10(-5) ulps, and the reduction error SNR is only 2.4 dB less than the roundoff SNR of an equivalent filter without truncation.

关键词： FIR filters truncated multipliers automatic VHDL generation computer arithmetic application-specific designs

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Segmented chirp features and hidden Gauss-Markov models for classification of wandering-tone signals

Segmented chirp features and hidden Gauss-Markov models for ...

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conference on advanced signal processing algorithms, architectures and implementations xII

作者： Ainsleigh, PL USN Undersea Warfare Ctr Newport RI 02840 USA

ISBN: (纸本)0819445584

A new feature set and decision function are proposed for classifying transient wandering-tone signals. signals are partitioned in time and modeled as having piecewise-linear instantaneous frequency and piecewise-constant amplitude. The initial frequency, chirp rate, and amplitude are estimated in each segment. The resulting sequences of estimates are used as features for classification. The decision function employs a linear Gaussian dynamical model, or hidden Gauss-Markov model (HGMM). The parameters that characterize the HGMM for each class are estimated from labeled training sequences, and the trained models are used to evaluate the class-conditional likelihoods of an unlabeled signal. The signal is assigned to the-class whose model gives the maximum conditional likelihood. Simulation experiments demonstrate perfect classification performance in a three-class forced-choice problem.

关键词： Ferroelectric materials Bismuth Picosecond phenomena Information technology Weapons of mass destruction signal processing

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A novel signal detection technique based on generalized scale transforms - art. no. 63130Y

A novel signal detection technique based on generalized scal...

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conference on advanced signal processing algorithms, architectures, and implementations xVI

作者： Nickel, Robert M. Penn State Univ Dept Elect Engn University Pk PA 16802 USA

ISBN: (纸本)0819463922

We are presenting an extension to the classic multiple signal classification method (MUSIC) developed by Schmidt and Bienvenu in 1979.(1) While the classic MUSIC algorithm is limited to the detection of constant frequency sinusoids in white noise, the proposed new method is capable of detecting signals with a continuously varying instantaneous frequency. The method is based on the development of a discrete-time version of the generalized scale transform (GST) which was introduced by Nickel and Williams in 1999.(2) As a byproduct we obtain techniques for discrete-time warp-shift invariant filtering which can be used in addition to the signal detection to separate signals with different instantaneous frequency contours.

关键词： warping functions sampling theory generalized scale transform signal detection multiple signal classification (MUSIC)

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NRL FLEx radar signal-processing architecture: an update

NRL FLEX radar signal-processing architecture: an update

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advanced signal processing algorithms, architectures, and implementations III

作者： Alter, James J. Evins, James B. Popick, Glen L. Scott, Russell A. Letellier, J.P. Naval Research Lab. Washington DC USA

ISBN: (纸本)081940943X

The NRL FLEx processor architecture is designed for real-time radar signal processing and was described at last year's conference in the context of its original application, the Point Defense Demonstration Radar project at NRL. This paper describes the current status of the processor and the application of the same architecture to a new problem which requires a different board configuration to satisfy a different set of latency and data flow requirements.

关键词： Radar systems

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OPTIMAL ARRAY signal-processing IN UNKNOWN NOISE ENVIRONMENTS VIA PARAMETRIC APPROACHES

OPTIMAL ARRAY SIGNAL-PROCESSING IN UNKNOWN NOISE ENVIRONMENT...

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CONF ON advanced signal processing algorithms, architectures, AND implementations 3

作者： WU, Q WONG, KM REILLY, JP McMaster Univ. (Canada)

ISBN: (纸本)081940943X

In this paper, under the assumption that noise correlation is spatially limited, using two separated arrays, we propose a new parametric approach for consistent directions of arrival (DOA) estimations in unknown noise environments. The theoretical performance analysis of the proposed DOA estimations is also presented. With the use of the theoretical performance, the best weighting matrices of the parametric criteria have been derived. More significantly, it has been shown that within the best weighted criteria, using canonical decomposition, we can achieve optimal performance of the DOA estimation among a large set of eigendecompositions.

关键词： Interference (communication) Matrices Sensors Autoregressive models Critical dimension metrology Array processing signal to noise ratio Data modeling Surface plasmons signal processing

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