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Träfflista för sökning "(swepub) mspu:(conferencepaper) srt2:(1980-1994)"

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1.
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2.
  • Doherty, Patrick, 1957-, et al. (författare)
  • Fuzzy if-then-unless rules and their implementation.
  • 1992
  • Ingår i: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU92,1992. - Linköping, Sweden : Springer.
  • Konferensbidrag (refereegranskat)
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3.
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4.
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5.
  • Ottersten, Björn, et al. (författare)
  • Stochastic maximum likelihood estimation in sensor arrays by weighted subspace fitting
  • 1989
  • Ingår i: Conference Record - Asilomar Conference on Circuits, Systems & Computers. - Pacific Grove, CA, USA : Linköping University. ; , s. 599-603, s. 599-603
  • Konferensbidrag (refereegranskat)abstract
    • The problem of estimating parameters of multiple narrowband emitter signals from sensor array data is considered. Under the assumption of Gaussian distributed emitter signals, the stochastic maximum-likelihood (ML) technique is known to provide statistically efficient estimates, i.e., it achieves the Cramer-Rao bound (CRB). A multidimensional signal subspace method, termed weighted subspace fitting (WSF), has recently been proposed. It is shown that the WSF and ML estimates are asymptotically identical (for large data records). As a consequence, the WSF method is asymptotically efficient, assuming temporally white Gaussian signal waveforms and noise.
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6.
  • Wahlberg, Bo, et al. (författare)
  • Robust Signal Parameter Estimation in the Presence of Array Perturbations
  • 1991
  • Ingår i: Proc. of 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991. ICASSP-91.. - Linköping : IEEE. ; , s. 3277-3280
  • Konferensbidrag (refereegranskat)abstract
    • Signal parameter estimators which are less sensitive to perturbations in the array manifold are presented. A parametrized stochastic model for the array uncertainties is introduced. The unknown array parameters can include the individual gain and phase responses of the sensors as well as their positions. Based on this model, a maximum a posteriori (MAP) estimator is formulated. This results in a fairly complex optimization problem which is computationally expensive. The MAP estimator is simplified by exploiting properties of the weighted subspace fitting method. An approximate method that further reduces the complexity is also presented, assuming smallarray perturbations. A compact expression for the MAP Cramer-Rao bound (CRB) on the signal and arrayparameter estimates is derived. A simulation study indicates that the proposed robust estimation procedures achieve the MAP-CRB even for moderate sample sizes.
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7.
  • Wahlberg, Bo, 1959- (författare)
  • System identification using high-order models, revisited
  • 1989
  • Ingår i: Proceedings of the 28th IEEE Conference on Decision and Control. Part 1 (of 3). - Linköping : Linköping University. ; , s. 634-639
  • Konferensbidrag (refereegranskat)abstract
    • The traditional approach of expanding transfer functions and noise models in the delay operator to obtain predictor models linear in the parameters leads to approximations of very high order in the case of rapid sampling and/or large dispersion in time constants. By using a priori information about the time constants of the system, more appropriate expansions, closely related to Laguerre networks, are introduced and analyzed. It is shown that these expansions need much lower orders to obtain reasonable approximations and improve the numerical properties of the estimation algorithm. Consistency (error bounds), persistence of excitation conditions, and asymptotic statistical properties are investigated.
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8.
  • Ljung, Lennart, 1946-, et al. (författare)
  • Adaptive System Performance in the Frequency Domain
  • 1992
  • Ingår i: Adaptive systems in control and signal processing 1992. - Linköping : Linköping University. - 9780080425962 ; , s. 33-40
  • Konferensbidrag (refereegranskat)
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9.
  • Andersen, Poul, et al. (författare)
  • Tackling Dynamics in Business Networks
  • 1994
  • Ingår i: 10th Annual IMP Conference, Groningen. - Groningen : University of Groningen, Faculty of Management & Organization.
  • Konferensbidrag (refereegranskat)
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10.
  • Andersson, Torbjörn, et al. (författare)
  • Estimation of Residence Time in Continuous Flow Systems with Dynamics
  • 1994
  • Ingår i: Proceedings of the 10th IFAC Symposium on System Identification. - Linköping : Linköping University. ; , s. 401-406
  • Konferensbidrag (refereegranskat)abstract
    • A method for estimation of residence time in continuous flow systems with varying dynamics is presented. By resampling, i.e., choosing time instants different from the given sampling instants, and interpolation between measured data points, we obtain a continuous flow system with constant residence time expressed in the new resampled time vector. We assume the flow patterns in the systems are invariant. The new data set is then used for identification of parameters in a chosen model structure. From the identified model, the residence time is readily calculated and a procedure for that is briefly described. The presented method is readily extended to enable use in recursive identification. In that case, however, as an improvement of tracking ability of an ordinary recursive routine.
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