Search Results - "Koivunen, V."

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  1. 1

    Autocorrelation-Based Decentralized Sequential Detection of OFDM Signals in Cognitive Radios by Chaudhari, S., Koivunen, V., Poor, H.V.

    Published in IEEE transactions on signal processing (01-07-2009)
    “…This paper introduces a simple and computationally efficient spectrum sensing scheme for Orthogonal Frequency Division Multiplexing (OFDM) based primary user…”
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  2. 2

    Complex Elliptically Symmetric Distributions: Survey, New Results and Applications by Ollila, E., Tyler, D. E., Koivunen, V., Poor, H. V.

    Published in IEEE transactions on signal processing (01-11-2012)
    “…Complex elliptically symmetric (CES) distributions have been widely used in various engineering applications for which non-Gaussian models are needed. In this…”
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  3. 3

    Collaborative Cyclostationary Spectrum Sensing for Cognitive Radio Systems by Lunden, J., Koivunen, V., Huttunen, A., Poor, H.V.

    Published in IEEE transactions on signal processing (01-11-2009)
    “…This paper proposes an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis…”
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  4. 4

    Toe pressure and toe brachial index are predictive of cardiovascular mortality regardless of the most diseased arterial segment in symptomatic lower-extremity artery disease-A retrospective cohort study by Koivunen, V, Juonala, M, Venermo, M, Laivuori, M, Jalkanen, J M, Hakovirta, H H

    Published in PloS one (15-11-2021)
    “…Although lower extremity arterial disease (LEAD) is most often multisegmental, the predominant disease location and risk factors differ between patients…”
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  5. 5

    Detection and Tracking of MIMO Propagation Path Parameters Using State-Space Approach by Salmi, J., Richter, A., Koivunen, V.

    Published in IEEE transactions on signal processing (01-04-2009)
    “…This paper describes a novel approach for detection, estimation and tracking of multiple-input multiple-output (MIMO) radio propagation parameters from…”
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  6. 6

    DoA Estimation Via Manifold Separation for Arbitrary Array Structures by Belloni, F., Richter, A., Koivunen, V.

    Published in IEEE transactions on signal processing (01-10-2007)
    “…In this paper, we consider the manifold separation technique (MST), which stems from the wavefield modeling formalism developed for array processing. MST is a…”
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  7. 7

    Complex random vectors and ICA models: identifiability, uniqueness, and separability by Eriksson, J., Koivunen, V.

    Published in IEEE transactions on information theory (01-03-2006)
    “…In this paper, the conditions for identifiability, separability and uniqueness of linear complex valued independent component analysis (ICA) models are…”
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  8. 8

    Automatic Radar Waveform Recognition by Lunden, J., Koivunen, V.

    “…In this paper, a system for automatically recognizing radar waveforms is introduced. This type of techniques are needed in various spectrum management,…”
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  9. 9

    Advanced methods for I/Q imbalance compensation in communication receivers by Valkama, M., Renfors, M., Koivunen, V.

    Published in IEEE transactions on signal processing (01-10-2001)
    “…I/Q signal processing is widely utilized in today's communication receivers. However, all I/Q processing receiver structures, such as the low-IF receiver, face…”
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  10. 10

    Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint by Abrudan, T.E., Eriksson, J., Koivunen, V.

    Published in IEEE transactions on signal processing (01-03-2008)
    “…In many engineering applications we deal with constrained optimization problems with respect to complex-valued matrices. This paper proposes a Riemannian…”
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  11. 11

    Beamspace Transform for UCA: Error Analysis and Bias Reduction by Belloni, F., Koivunen, V.

    Published in IEEE transactions on signal processing (01-08-2006)
    “…In this paper, we analyze the error caused by the beamspace transform (BT) when it is applied to uniform circular array (UCA) configuration. Several algorithms…”
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  12. 12

    Sequential Unfolding SVD for Tensors With Applications in Array Signal Processing by Salmi, J., Richter, A., Koivunen, V.

    Published in IEEE transactions on signal processing (01-12-2009)
    “…This paper contributes to the field of higher order ( N > 2) tensor decompositions in signal processing. A novel PARATREE tensor model is introduced,…”
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  13. 13

    Effects of heavy metal pollution on red wood ant ( Formica s. str.) populations by Eeva, T., Sorvari, J., Koivunen, V.

    Published in Environmental pollution (1987) (01-12-2004)
    “…We studied the species composition, mound population densities, relative abundance and colony sizes of red wood ants along a well known air pollution gradient…”
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  14. 14
  15. 15

    Identifiability, separability, and uniqueness of linear ICA models by Eriksson, J., Koivunen, V.

    Published in IEEE signal processing letters (01-07-2004)
    “…In this letter, we give the conditions for identifiability, separability and uniqueness of linear real valued independent component analysis (ICA) models. A…”
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  16. 16

    Blind signal estimation in conjugate signal models with application to I/Q imbalance compensation by Valkama, M., Renfors, M., Koivunen, V.

    Published in IEEE signal processing letters (01-11-2005)
    “…This letter addresses the blind signal estimation problem in the so-called conjugate signal model, where the observed signal is a linear combination of the…”
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  17. 17

    Blind Frequency Synchronization in OFDM via Diagonality Criterion by Roman, T., Visuri, S., Koivunen, V.

    Published in IEEE transactions on signal processing (01-08-2006)
    “…In this paper, we address the problem of blind carrier frequency offset (CFO) estimation in orthogonal frequency-division multiplexing (OFDM) systems in the…”
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  18. 18

    Influence Function and Asymptotic Efficiency of Scatter Matrix Based Array Processors: Case MVDR Beamformer by Ollila, E., Koivunen, V.

    Published in IEEE transactions on signal processing (01-01-2009)
    “…In this paper, we consider array processors that are scale-invariant functions of the array covariance matrix. The emphasis is on Capon's MVDR beamformer. We…”
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  19. 19

    Householder Multistage Wiener Filter for Space-Time Navigation Receivers by Werner, S., With, M., Koivunen, V.

    “…Space-time (ST) processing in navigation receivers is attractive technology because it provides a sufficient number of degrees of freedom for cancelling a…”
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  20. 20

    Subspace-based direction-of-arrival estimation using nonparametric statistics by Visuri, S., Oja, H., Koivunen, V.

    Published in IEEE transactions on signal processing (01-09-2001)
    “…The problem of subspace estimation using multivariate nonparametric statistics is addressed. We introduce new high-resolution direction-of-arrival (DOA)…”
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