#### Filter Results:

- Full text PDF available (9)

#### Publication Year

2003

2015

- This year (0)
- Last 5 years (5)
- Last 10 years (14)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

#### Organism

Learn More

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)

- 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)

- 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)

- 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)

- T Laudadio, Y Selén, L Vanhamme, P Stoica, P Van Hecke, S Van Huffel
- Journal of magnetic resonance
- 2004

Accurate quantitation of Magnetic Resonance Spectroscopy (MRS) signals is an essential step before converting the estimated signal parameters, such as frequencies, damping factors, and amplitudes, into biochemical quantities (concentration, pH). Several subspace-based parameter estimators have been developed for this task, which are efficient and accurate… (More)

- Petre Stoica, Yngve Selén, Jian Li
- Digital Signal Processing
- 2004

- 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)

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

- Petre Stoica, Niclas Sandgren, Yngve Selén, Leentje Vanhamme, Sabine Van Huffel
- Journal of magnetic resonance
- 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 selective analysis deals precisely with this kind of NMR spectroscopy: parameter estimation of only those spectroscopic components that lie in a preselected frequency band of the NMR data spectrum, with as… (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)