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The parametric (or model-based) methods of signal processing often require not only the estimation of a vector of real-valued parameters but also the selection of one or several integer-valued parameters that are equally important for the specification of a data model. Examples of these integer-valued parameters of the model include the orders of an… (More)

- Yngve Selen, H. Tullberg, J. Kronander
- 2008 3rd IEEE Symposium on New Frontiers in…
- 2008

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 perform spectrum sensing to identify spectrum opportunities, and to guarantee that it does not cause unacceptable interference to the license owner. Because a single sensor may be in a fading dip,… (More)

- Yngve Selén, Richard Abrahamsson, Petre Stoica
- 2007 IEEE International Conference on Acoustics…
- 2007

In this paper we derive a class of new parameter free robust adaptive beamformers using the generalized sidelobe canceler reparameterization of the Capon beamformer. In this parameterization the minimum variance beamformer is obtained as the solution of a linear least squares problem. In the case of an inaccurate steering vector and/or few data snapshots… (More)

- Erik G. Larsson, Yngve Selén
- IEEE Transactions on Signal Processing
- 2006

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 error (MMSE) estimate of the parameter vector and a computationally efficient approximation of it. We also derive an empirical-Bayesian version of the estimator, which does not need any a priori… (More)

- Petre Stoica, Yngve Selén, Niclas Sandgren, Sabine Van Huffel
- IEEE Trans. Biomed. Engineering
- 2004

We introduce the knowledge-based singular value decomposition (KNOB-SVD) method for exploiting prior knowledge in magnetic resonance (MR) spectroscopy based on the SVD of the data matrix. More specifically, we assume that the MR data are well modeled by the superposition of a given number of exponentially damped sinusoidal components and that the dampings… (More)

- Yngve Selén, Jonas Kronander
- 2012 IEEE International Symposium on Dynamic…
- 2012

This paper presents a solution to the problem of setting power limits for white space devices sharing a spectrum band. It is desired to utilize the available white space efficiently while also protecting the primary system from harmful interference. Power limits are set individually for each white space device by maximizing a joint utility measure, e.g.,… (More)

- Richard Abrahamsson, Yngve Selén, Petre Stoica
- 2007 IEEE International Conference on Acoustics…
- 2007

In this paper a number of covariance matrix estimators suggested in the literature are compared in terms of their performance in the context of array signal processing. More specifically they are applied in adaptive beamforming which is known to be sensitive to errors in the covariance matrix estimate and where often only a limited amount of data is… (More)

- Robert Baldemair, Tim Irnich, +6 authors Afif Osseiran
- IEEE Communications Magazine
- 2015

- Petre Stoica, Yngve Selén, Jian Li
- IEEE Signal Processing Letters
- 2004

The information criterion (IC) rule and the generalized likelihood ratio test (GLRT) have been usually considered to be two rather different approaches to model order selection. However, we show here that a natural implementation of the GLRT is, in fact, equivalent to the IC rule. A consequence of this equivalence is that a specific IC rule, such as Akaike… (More)

- Tim Irnich, Jonas Kronander, Yngve Selén, Gen Li
- PIMRC Workshops
- 2013

—Cellular networks today are designed for and operate in dedicated licensed spectrum. At the same time there are other spectrum usage authorization models for wireless communication, such as unlicensed spectrum or, as widely discussed currently but not yet implemented in practice, various forms of licensed shared spectrum. Hence, cellular technology as of… (More)