Search Results - "Yngve Selen"

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  1. 1

    Linear Regression With a Sparse Parameter Vector by Larsson, E.G., Selen, Y.

    Published in IEEE transactions on signal processing (01-02-2007)
    “…We consider linear regression under a model where the parameter vector is known to be sparse. Using a Bayesian framework, we derive the minimum mean-square…”
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    Journal Article
  2. 2

    Automatic robust adaptive beamforming via ridge regression by Selén, Yngve, Abrahamsson, Richard, Stoica, Peter

    Published in Signal processing (2008)
    “…In this paper we derive a class of new parameter free robust adaptive beamformers using the generalized sidelobe canceler reparameterization of the unit gain…”
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    Journal Article
  3. 3

    Empirical Bayes linear regression with unknown model order by Selén, Yngve, Larsson, Erik G.

    Published in Digital signal processing (2008)
    “…We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For…”
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    Journal Article
  4. 4

    Estimation of semi-sparse radar range profiles by Selén, Yngve, Stoica, Petre

    Published in Digital signal processing (2008)
    “…We study the use of semi-sparse models, i.e., models having a few coefficients that are significantly larger than the rest, for estimation of range profiles in…”
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    Journal Article
  5. 5

    RAKE Receiver for Channels with a Sparse Impulse Response by Selen, Y., Larsson, E.G.

    “…We derive the optimal receiver for RAKE diversity combining on channels with a sparse impulse response. The receiver is based on the Bayesian philosophy and…”
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    Journal Article
  6. 6

    Sensor Selection for Cooperative Spectrum Sensing by Yngve Selen, Tullberg, H., Kronander, J.

    “…This article considers spectrum-on-demand in a cellular system. A communication system that wants to access spectrum to which it does not own a license must…”
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    Conference Proceeding
  7. 7

    Empirical Bayes Linear Regression with Unknown Model Order by Selen, Y., Larsson, E.G.

    “…We study the maximum a posteriori probability model order selection algorithm for linear regression models, assuming Gaussian distributed noise and coefficient…”
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    Conference Proceeding
  8. 8

    Linear Regression with a Sparse Parameter Vector by Larsson, E.G., Selen, Y.

    “…We consider linear regression under a model where the parameter vector is known to be sparse. Using a Bayesian framework, we derive a computationally efficient…”
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    Conference Proceeding
  9. 9

    Cooperative Detection of Programme Making Special Event Devices in Realistic Fading Environments by Selen, Yngve, Kronander, Jonas

    “…In this article the effect of licensed non-standardized low power transmitters, i.e., PMSE (programme making special event) devices such as wireless…”
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    Conference Proceeding
  10. 10

    Optimal Bayesian RAKE Receiver for Sparse Channels by Selen, Y., Larsson, E.G.

    “…In this article we derive the optimal (soft) RAKE MRC (maximum ratio combiner) under a sparse channel model. In contrast to many previous approaches, we do not…”
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    Conference Proceeding
  11. 11

    3G LTE Simulations Using Measured MIMO Channels by Selen, Y., Asplund, H.

    “…In this article we present downlink simulation results for a realistic implementation of the LTE (Long Term Evolution) 3G standard. In contrast to previous…”
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    Conference Proceeding
  12. 12

    A short feasibility study of a cognitive TV black space system by Selen, Y., Baldemair, R., Sachs, J.

    “…This paper evaluates the feasibility of overlaying a secondary system on a digital TV (DTV) system. We denote this type of approach TV black space (in contrast…”
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    Conference Proceeding
  13. 13

    Parameter estimation and order selection for linear regression problems by Selen, Yngve, Larsson, Erik G.

    “…Parameter estimation and model order selection for linear regression models are two classical problems. In this article we derive the minimum mean-square error…”
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    Conference Proceeding
  14. 14

    Future Wireless Communications by Baldemair, Robert, Dahlman, Erik, Parkvall, Stefan, Selen, Yngve, Balachandran, Kumar, Irnich, Tim, Fodor, Gabor, Tullberg, Hugo

    “…The wireless-access networks of today will have to evolve in several dimensions in order to address the challenges and expectations of the future. New…”
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    Conference Proceeding
  15. 15

    Frequency-domain method based on the singular value decomposition for frequency-selective NMR spectroscopy by Stoica, Petre, Sandgren, Niclas, Selén, Yngve, Vanhamme, Leentje, Van Huffel, Sabine

    Published in Journal of magnetic resonance (1997) (01-11-2003)
    “…In several applications of NMR spectroscopy the user is interested only in the components lying in a small frequency band of the spectrum. A frequency…”
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    Journal Article
  16. 16

    Adaptive equalization for frequency-selective channels of unknown length by Larsson, E.G., Selen, Y., Stoica, P.

    Published in IEEE transactions on vehicular technology (01-03-2005)
    “…This paper studies adaptive equalization for time-dispersive communication channels whose impulse responses have unknown lengths. This problem is important,…”
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    Journal Article
  17. 17

    Spectrum sharing scenarios and resulting technical requirements for 5G systems by Irnich, Tim, Kronander, Jonas, Selen, Yngve, Gen Li

    “…Cellular networks today are designed for and operate in dedicated licensed spectrum. At the same time there are other spectrum usage authorization models for…”
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    Conference Proceeding
  18. 18

    Adaptive equalization for frequency-selective channels of unknown length by Larsson, E.G., Selen, Y., Stoica, P.

    “…This paper presents a new method for adaptive equalization of communication channels with intersymbol interference, for which the impulse response has an…”
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    Conference Proceeding
  19. 19

    5G wireless access: requirements and realization by Dahlman, Erik, Mildh, Gunnar, Parkvall, Stefan, Peisa, Janne, Sachs, Joachim, Selén, Yngve, Sköld, Johan

    Published in IEEE communications magazine (01-12-2014)
    “…5G, the mobile communication technology for beyond 2020, will provide access to information and the sharing of data anywhere and anytime for anyone and…”
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    Magazine Article
  20. 20

    Ultra-dense networks in millimeter-wave frequencies by Baldemair, Robert, Irnich, Tim, Balachandran, Kumar, Dahlman, Erik, Mildh, Gunnar, Selén, Yngve, Parkvall, Stefan, Meyer, Michael, Osseiran, Afif

    Published in IEEE communications magazine (01-01-2015)
    “…Demands for very high system capacity and end-user data rates of the order of 10 Gb/s can be met in localized environments by Ultra-Dense Networks (UDN),…”
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    Magazine Article