#### Filter Results:

- Full text PDF available (105)

#### Publication Year

1998

2017

- This year (10)
- Last 5 years (93)
- Last 10 years (146)

#### Publication Type

#### Co-author

#### Publication Venue

#### Brain Region

#### Key Phrases

#### Method

#### Organism

Learn More

- Tianshi Chen, Henrik Ohlsson, Lennart Ljung
- Automatica
- 2012

Intrigued by some recent results on impulse response estimation by kernel and nonparamet-ric techniques, we revisit the old problem of transfer function estimation from input-output measurements. We formulate a classical regularization approach, focused on finite impulse response (FIR) models, and find that regularization is necessary to cope with the high… (More)

- Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
- IEEE Transactions on Signal Processing
- 2011

In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filtering problem into two nested subproblems and then handles the two nested subproblems using PFs. The DPF has the advantage over the regular PF that the DPF can increase the level of… (More)

- Juan Merlo, Basile Chaix, +5 authors K Larsen
- Journal of epidemiology and community health
- 2006

STUDY OBJECTIVE
In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression. The aim of this study was to present measures of variation appropriate for the logistic case in a didactic rather than a mathematical way.
DESIGN AND… (More)

Given a linear system in a real or complex domain, linear regression aims to recover the model parameters from a set of observations. Recent studies in compressive sensing have successfully shown that under certain conditions, a linear program, namely, 1-minimization, guarantees recovery of sparse parameter signals even when the system is underdetermined.… (More)

- Henrik Ohlsson, Yonina C. Eldar
- 2014 IEEE International Conference on Acoustics…
- 2014

The phase retrieval problem has a long history and is an important problem in many areas of optics. Theoretical understanding of phase retrieval is still limited and fundamental questions such as uniqueness and stability of the recovered solution are not yet fully understood. This paper provides several additions to the theoretical understanding of sparse… (More)

- Henrik Ohlsson, Lennart Ljung
- Automatica
- 2013

This paper proposes a general convex framework for the identification of switched linear systems. The proposed framework uses over-parameterization to avoid solving the otherwise combinatorially forbidding identification problem and takes the form of a least-squares problem with a sum-of-norms regularization, a generalization of the 1-regularization. The… (More)

- Kristina Sundquist, Ulf Eriksson, Naomi Kawakami, Lars Skog, Henrik Ohlsson, Daniel Arvidsson
- Social science & medicine
- 2011

More knowledge concerning the association between physical activity and objectively measured attributes of the built environment is needed. Previous studies on the association between objectively measured neighborhood walkability, physical activity, and walking have been conducted in the U.S. or Australia and research findings are available from only one… (More)

- Henrik Ohlsson, Lennart Ljung, Stephen P. Boyd
- Automatica
- 2010

Segmentation of time-varying systems and signals into models whose parameters are piecewise constant in time is an important and well studied problem. It is here formulated as a least-squares problem with sum-of-norms regularization over the state parameter jumps, a generalization of 1-regularization. A nice property of the suggested formulation is that it… (More)

- Tan Khoa Nguyen, Anders Eklund, +6 authors Anders Ynnerman
- Volume Graphics
- 2010

We present a novel approach to interactive and concurrent volume visualization of functional Magnetic Resonance Imaging (fMRI). While the patient is in the scanner, data is extracted in real-time using state-of-the-art signal processing techniques. The fMRI signal is treated as light emission when rendering a patient-specific high resolution reference MRI… (More)

- Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry
- HiCoNS
- 2014

Provided an arbitrary nonintrusive load monitoring (NILM) algorithm, we seek bounds on the probability of distinguishing between scenarios, given an aggregate power consumption signal. We introduce a framework for studying a general NILM algorithm, and analyze the theory in the general case. Then, we specialize to the case where the error is Gaussian. In… (More)