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Träfflista för sökning "WFRF:(Stoica M.) srt2:(1995-1999)"

Search: WFRF:(Stoica M.) > (1995-1999)

  • Result 1-25 of 25
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  • Cedervall, M, et al. (author)
  • Mode-type algorithm for estimating damped, undamped, or explosive modes
  • 1997
  • In: CIRCUITS SYSTEMS AND SIGNAL PROCESSING. - : BIRKHAUSER BOSTON INC. - 0278-081X. ; 16:3, s. 349-362
  • Journal article (other academic/artistic)abstract
    • We propose a new algorithm for estimating the parameters of damped, undamped, or explosive sinusoidal signals. The algorithm resembles the MODE algorithm, which is commonly used for direction of arrival estimation in the array signal processing held. It i
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  • Cedervall, M, et al. (author)
  • System identification from noisy measurements by using instrumental variables and subspace fitting
  • 1996
  • In: CIRCUITS SYSTEMS AND SIGNAL PROCESSING. - : BIRKHAUSER BOSTON INC. - 0278-081X. ; 15:2, s. 275-290
  • Journal article (other academic/artistic)abstract
    • This paper considers the estimation of the parameters of a linear discrete-time system from noise-perturbed input and output measurements. The conditions imposed on the system are fairly general. In particular, the input and output noises are allowed to b
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4.
  • Jansson, M, et al. (author)
  • Forward-only and forward-backward sample covariances - A comparative study
  • 1999
  • In: SIGNAL PROCESSING. - : ELSEVIER SCIENCE BV. - 0165-1684. ; 77:3, s. 235-245
  • Journal article (other academic/artistic)abstract
    • In some applications the covariance matrix of the observations enjoys a particular symmetry: it is not only symmetric with respect to its main diagonal but also with respect to the anti-diagonal. The standard forward-only sample covariance estimate does n
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  • STOICA, P, et al. (author)
  • ADAPTIVE INSTRUMENTAL VARIABLE METHOD FOR ROBUST DIRECTION-OF-ARRIVAL ESTIMATION
  • 1995
  • In: IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION. - 1350-2395. ; 142:2, s. 45-53
  • Journal article (other academic/artistic)abstract
    • The authors consider the problem of estimating the directions of arrival (DOAs) of the signals impinging on an array of narrowband sensors with arbitrary geometry. By assuming that the noise covariance matrix has a block diagonal structure, an optimal spa
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  • Stoica, P, et al. (author)
  • Detection tests for array processing in unknown correlated noise fields
  • 1997
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1053-587X. ; 45:9, s. 2351-2362
  • Journal article (other academic/artistic)abstract
    • This paper introduces two eigenvalue-based rules for estimating the number of signals impinging on an array of sensors along with a spatially correlated noise field, The first rule, called S, is derived under the assumption that the noise spatial covarian
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  • Stoica, P, et al. (author)
  • Maximum likelihood array processing for stochastic coherent sources
  • 1996
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1053-587X. ; 44:1, s. 96-105
  • Journal article (other academic/artistic)abstract
    • Maximum likelihood (ML) estimation in array signal processing for the stochastic noncoherent signal case is well documented in the literature, Herein, we focus on the equally relevant case of stochastic coherent signals, Explicit large-sample realizations
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17.
  • Stoica, P, et al. (author)
  • Maximum-likelihood bearing estimation with partly calibrated arrays in spatially correlated noise fields
  • 1996
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1053-587X. ; 44:4, s. 888-899
  • Journal article (other academic/artistic)abstract
    • The problem of using a partly calibrated array for maximum likelihood (ML) bearing estimation of possibly coherent signals buried in unknown correlated noise fields is shown to admit a neat solution under fairly general conditions, More exactly, this pape
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  • Stoica, P, et al. (author)
  • Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions
  • 1996
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - 1053-587X. ; 44:12, s. 3069-3078
  • Journal article (peer-reviewed)abstract
    • This paper considers the problem of maximum likelihood (ML) estimation for reduced-rank linear regression equations with noise of arbitrary covariance. The rank-reduced matrix of regression coefficients is parameterized as the product of two full-rank factor matrices. This parameterization is essentially constraint free, but it is not unique, which renders the associated ML estimation problem rather nonstandard. Nevertheless, the problem turns out to be tractable, and the following results are obtained. An explicit expression is derived for the ML estimate of the regression matrix in terms of the data covariances and their eigenelements. Furthermore, a detailed analysis of the statistical properties of the ML parameter estimate is performed. Additionally, a generalized likelihood ratio test (GLRT) is proposed for estimating the rank of the regression matrix. The paper also presents the results of some simulation exercises, which lend empirical support to the theoretical findings
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20.
  • Stoica, P, et al. (author)
  • On forward-backward MODE for array signal processing
  • 1997
  • In: DIGITAL SIGNAL PROCESSING. - : ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS. - 1051-2004. ; 7:4, s. 239-252
  • Journal article (other academic/artistic)abstract
    • We apply the MODE (method of direction estimation) principle to the forward-backward (FB) covariance of the output vector of a sensor array to obtain what we call the FB-MODE procedure. The derivation of FB-MODE is an interesting exercise in matrix analys
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21.
  • STOICA, P, et al. (author)
  • ON LP-MUSIC
  • 1995
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ; 43:2
  • Other publication (other academic/artistic)abstract
    • This correspondence studies the consistency properties of a method recently proposed for temporal or spatial frequency estimation from noisy data. The method in question is a MUSIC technique that makes use of a linear prediction algorithm to determine the
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22.
  • STOICA, P, et al. (author)
  • ON MAXIMUM-LIKELIHOOD-ESTIMATION OF DIFFERENCE EQUATION PARAMETERS
  • 1995
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ; 43:8
  • Other publication (other academic/artistic)abstract
    • This correspondence is prompted by a recent paper in the TRANSACTIONS ON SIGNAL PROCESSING, which discussed the maximum likelihood (ML) estimation of difference equation parameters in a flawed manner. The correct ML parameter estimate is derived herein by
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  • STOICA, P, et al. (author)
  • WEIGHTED LS AND TLS APPROACHES YIELD ASYMPTOTICALLY EQUIVALENT RESULTS
  • 1995
  • In: SIGNAL PROCESSING. - : ELSEVIER SCIENCE BV. - 0165-1684. ; 45:2, s. 255-259
  • Journal article (other academic/artistic)abstract
    • The weighted least-squares (LS) and total-least-squares (TLS) solutions to a perturbed system of linear equations are shown to be asymptotically equivalent (as the perturbation level goes to zero). An immediate consequence of this fact is that an optimall
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25.
  • Viberg, M, et al. (author)
  • Maximum likelihood array processing in spatially correlated noise fields using parameterized signals
  • 1997
  • In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1053-587X. ; 45:4, s. 996-1004
  • Journal article (other academic/artistic)abstract
    • This paper deals with the problem of estimating signal parameters using an array of sensors, This problem is of interest in a variety of applications, such as radar and sonar source localization, A vast number of estimation techniques have been proposed i
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  • Result 1-25 of 25

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