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

作者： Larsen, ML Ridgway, J Waldman, CH Gabbay, M Buntzen, RR Battista, B Informat Syst Labs Inc San Diego CA 92121 USA

ISBN: (纸本)0819454974

In this paper, we report on efforts to develop signal processing methods appropriate for the detection of man-made electromagnetic signals in the nonlinear and nonstationary underwater electromagnetic noise environment of the littoral. Using recent advances in time series analysis methods [Huang et al., 1998], we present new techniques for detection and compare their effectiveness with conventional signal processing methods, using experimental data from recent field experiments. These techniques are based on an empirical mode decomposition which is used to isolate signals to be detected from noise without a priori assumptions. The decomposition generates a physically motivated basis for the data.

关键词： underwater electromagnetic data nonlinear signal processing empirical mode decomposition

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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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A low power, high performance approach for time-frequency/time-scale computations

A low power, high performance approach for time-frequency/ti...

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SPIE Conference on advanced signal processing algorithms, architectures, and implementations VIII

作者： Suter, BW Stevens, KS USAF Res Lab IFGC Griffiss AFB NY 13441 USA

ISBN: (纸本)0819429163

This paper presents an application of formal mathematics to create a high performance, low power architecture for time-frequency and time-scale computations implemented in asynchronous circuit technology that achieves significant power reductions and performance enhancements over more traditional approaches. Utilizing a combination of concepts from multirate signal processing and asynchronous circuit design, a case study is presented dealing with a new architecture for the fast Fourier transform, an algorithm that requires globally shared results. Then, the generalized distributive law is presented as an important paradigm for advanced asynchronous hardware design.

关键词： time-frequency computations time-scale computations asynchronous circuit design multirate signal processing generalized distributive law fast Fourier transform

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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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DETECTION AND CLASSIFICATION OF CYCLOSTATIONARY signalS VIA CYCLIC-HOS - A UNIFIED APPROACH

DETECTION AND CLASSIFICATION OF CYCLOSTATIONARY SIGNALS VIA ...

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

作者： DANDAWATE, AV GIANNAKIS, GB Univ. of Virginia (United States)

ISBN: (纸本)081940943X

Detection and classification of cyclostationary signals in noise of unknown distribution is addressed and novel tests for cyclostationarity are proposed. Both cases of known and unknown signal statistics are considered. The proposed approaches exploit the asymptotic normality of sample cyclic- cumulant and polyspectrum estimators for deriving asymptotically optimal X² tests. Simpler, but generally suboptimal versions are also presented. Simulations are performed to test the proposed algorithms and illustrate their insensitivity to any stationary noise as well as the ability of higher-than second-order schemes to suppress cyclostationary Gaussian interferences of unknown covariance.

关键词： signal detection Interference (communication) Error analysis signal processing Receivers signal to noise ratio Statistical analysis Detection and tracking algorithms Monte Carlo methods Sensors

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MODIFIED GIVENS ROTATIONS FOR INVERSE UPDATING IN QR DECOMPOSITION 4

MODIFIED GIVENS ROTATIONS FOR INVERSE UPDATING IN QR DECOMPO...

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

作者： SHEPHERD, TJ MCWHIRTER, JG Defence Research Agency (United Kingdom)

The sequence of Givens rotations used to update the upper triangular matrix R in a recursive QR decomposition may also be used to update the inverse transpose matrix R-H. Alternative forms of square-root-free Givens r... 详细信息

ISBN: (纸本)0819412767

The sequence of Givens rotations used to update the upper triangular matrix R in a recursive QR decomposition may also be used to update the inverse transpose matrix R^-H. Alternative forms of square-root-free Givens rotation for updating the inverse transpose matrix are derived by representing and storing it in a different factorized form from that used before. The modified Givens rotations do not involve explicit division by the exponential forget factor and lead to an update algorithm equivalent to the one derived by Sakai using Recursive Modified Gram Schmidt orthogonalization.

关键词： Algorithm development Evolutionary algorithms Array processing Aluminum Chlorine Numerical simulations signal processing Defense and security Digital filtering Roads

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

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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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WAVELETS, TOMOGRAPHY, AND LINE SEGMENT IMAGE REPRESENTATIONS

WAVELETS, TOMOGRAPHY, AND LINE SEGMENT IMAGE REPRESENTATIONS

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

作者： ALTES, RA Chirp Corp. (United States)

ISBN: (纸本)0819404098

Conventional scale dependent wavelet analysis represents a signal or iniage as a superposition of translated differently scaled versions of the same basis function. When the basis function for time series analysis is a chirp with linear frequency modulation a scale dependent wavelet representation is equivalent to a sequence of projections of the signal timefrequency distribution along differently rotated lines and reconstruction of the signal from its chirped wavelet representation is analogous to tomographic reconstruction from time frequency projections. The same analogy applies in two dimensions if scaled basis functions are replaced by rotated ones such that an image is represented by a superposition of translated differently rotated versions of the same basis function. For rotation dependent wavelet analysis basis functions consisting of very long line segments yield a tomographic representation while shorter line segments yield a line segment image representation as in the primate visual cortex. Applications include binocular robot vision and synthetic aperture radar.

关键词： Wavelets Tomography Image segmentation Superposition Frequency modulation Robot vision signal analyzers Synthetic aperture radar Time series analysis Visual cortex

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DIRECTION FINDING USING ESPRIT WITH ARRAY MANIFOLD INTERPOLATION

DIRECTION FINDING USING ESPRIT WITH ARRAY MANIFOLD INTERPOLA...

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

作者： HUNG, HS WHU, KR Iowa State Univ. (United States)

ISBN: (纸本)081940943X

A direction-finding algorithm employing the technique of array manifold interpolation is proposed for the estimation of directions-of-arrival of multiple narrow-band sources. The algorithm is formulated by applying array manifold interpolation to an ESPRIT-type method. As a result, a virtual array can be interpolated from the data collected from a real array, thereby eliminating the need for two identical arrays as in ESPRIT. Moreover, only a single interpolation matrix for the entire field-of-view is required, thus significantly reducing the computational load of the sector-divided interpolation scheme. Simulation results are provided to show the effectiveness of the proposed algorithm.

关键词： Sensors signal to noise ratio Interference (communication) Data modeling signal processing Statistical analysis algorithms Bessel functions Computer simulations Wave propagation

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Dominant covering

Dominant covering

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

作者： Kung, HT Suter, BW Harvard Univ Div Engn & Appl Sci Cambridge MA USA USAF Res Lab Ctr Integrated Transmiss & Exploitat Rome NY USA

ISBN: (纸本)0819454974

We consider communications and network systems whose properties are characterized by the gaps of the leading eigenvalues of A(H) A for some matrix A. We show that a sufficient and necessary condition for a large eigen-gap is that A is a "hub" matrix in the sense that it has dominant columns. We describe an application of this dominant covering theory in multiple-input and multiple-output (MIMO) wireless systems.

关键词： signal to noise ratio Telecommunications Antennas Receivers Transmitters Matrices Multiplexing Analytical research Computing systems signal attenuation

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