Magnus Jansson

Mikael Hämäläinen

IEEE Trans. Aerosp. Electron. Syst., October, 2023

Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models.

[BibT_eX]

[DOI]

Prakash Borpatra Gohain

IEEE Trans. Signal Process., 2023

Model Selection in High-Dimensional Block-Sparse General Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off.

[BibT_eX]

[DOI]

Jaya Prakash Champati

Mikael Skoglund

James Gross

IEEE Trans. Commun., 2022

Scale-Invariant and consistent Bayesian information criterion for order selection in linear regression models.

[BibT_eX]

[DOI]

Signal Process., 2022

New Improved Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Stepped Frequency Pulse Compression With Noncoherent Radar Using Deep Learning.

[BibT_eX]

[DOI]

Alexander Karlsson

Henrik Holter

IEEE Trans. Aerosp. Electron. Syst., 2021

2020

Model selection with covariance matching based non-negative lasso.

[BibT_eX]

[DOI]

Yoram Bresler

Signal Process., 2020

Relative Cost Based Model Selection for Sparse High-Dimensional Linear Regression Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

A Model Selection Criterion for High-Dimensional Linear Regression.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Direction of arrival estimation using adaptive directional time-frequency distributions.

[BibT_eX]

[DOI]

Nabeel Ali Khan

Sadiq Ali

Multidimens. Syst. Signal Process., 2018

2017

Comments on "Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis".

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Consistent Change Point Detection for Piecewise Constant Signals With Normalized Fused LASSO.

[BibT_eX]

[DOI]

Alexandre Proutière

IEEE Signal Process. Lett., 2017

A connectedness constraint for learning sparse graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Successive Concave Sparsity Approximation for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data.

[BibT_eX]

[DOI]

Erik G. Ström

Ali H. Sayed

IEEE Trans. Signal Inf. Process. over Networks, 2016

Jamming of Wireless Localization Systems.

[BibT_eX]

[DOI]

Sinan Gezici

Suat Bayram

IEEE Trans. Commun., 2016

Upper bounds on the error of sparse vector and low-rank matrix recovery.

[BibT_eX]

[DOI]

Cristian R. Rojas

Massoud Babaie-Zadeh

Signal Process., 2016

Alternating strategies with internal ADMM for low-rank matrix reconstruction.

[BibT_eX]

[DOI]

Signal Process., 2016

Planar-Based Visual Inertial Navigation: Observability Analysis and Motion Estimation.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2016

Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

Model selection for high-dimensional data.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Calibration of an IMU-Camera Cluster Using Planar Mirror Reflection and Its Observability Analysis.

[BibT_eX]

[DOI]

Peter Händel

IEEE Trans. Instrum. Meas., 2015

Prior-exploiting Direction-of-Arrival algorithms for partially uncorrelated source signals.

[BibT_eX]

[DOI]

Signal Process., 2015

Bayesian Learning for Low-Rank matrix reconstruction.

[BibT_eX]

[DOI]

CoRR, 2015

Successive Concave Sparsity Approximation: Near-Oracle Performance in a Wide Range of Sparsity Levels.

[BibT_eX]

[DOI]

CoRR, 2015

Optimal jammer placement in wireless localization networks.

[BibT_eX]

[DOI]

Sinan Gezici

Suat Bayram

Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

Optimal jamming of wireless localization systems.

[BibT_eX]

[DOI]

Sinan Gezici

Suat Bayram

Proceedings of the IEEE International Conference on Communication, 2015

Greedy minimization of l1-norm with high empirical success.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Weighted covariance matching based square root LASSO.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Ranging without time stamps exchanging.

[BibT_eX]

[DOI]

Satyam Dwivedi

Peter Handel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bayesian learning for robust principal component analysis.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Estimation for the Linear Model With Uncertain Covariance Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

On Kronecker and Linearly Structured Covariance Matrix Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Static Integral Nonlinearity Modeling and Calibration of Measured and Synthetic Pipeline Analog-to-Digital Converters.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2014

Multi-antenna spectrum sensing by exploiting spatio-temporal correlation.

[BibT_eX]

[DOI]

Sadiq Ali

David Ramírez

Gonzalo Seco-Granados

José A. Lopez-Salcedo

EURASIP J. Adv. Signal Process., 2014

Relevance Singular Vector Machine for low-rank matrix sensing.

[BibT_eX]

[DOI]

CoRR, 2014

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2014

DOA estimation in partially correlated noise using low-rank/sparse matrix decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Combined modeling of sparse and dense noise improves Bayesian RVM.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Dynamic Calibration of Undersampled Pipelined ADCs by Frequency Domain Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2013

Utilization of Noise-Only Samples in Array Processing With Prior Knowledge.

[BibT_eX]

[DOI]

Mats Bengtsson

IEEE Signal Process. Lett., 2013

Line spectrum estimation with probabilistic priors.

[BibT_eX]

[DOI]

Signal Process., 2013

Training sequence design for MIMO channels: an application-oriented approach.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2013

Observability analysis of a vision-aided inertial navigation system using planar features on the ground.

[BibT_eX]

[DOI]

Chao X. Guo

Stergios I. Roumeliotis

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

IMU-camera data fusion: Horizontal plane observation with explicit outlier rejection.

[BibT_eX]

[DOI]

Seth Hutchinson

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013

Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Prior-exploiting direction-of-arrival algorithm for partially uncorrelated source signals.

[BibT_eX]

[DOI]

Guillaume Bouleux

Proceedings of the IEEE International Conference on Acoustics, 2013

Beamformers for sparse recovery.

[BibT_eX]

[DOI]

Dennis Sundman

Proceedings of the IEEE International Conference on Acoustics, 2013

Image-based floor segmentation in visual inertial navigation.

[BibT_eX]

[DOI]

Guillem Casas Barcelo

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

Conditional prior based lmmse estimation of sparse signals.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Novel collaborative spectrum sensing based on spatial covariance structure.

[BibT_eX]

[DOI]

Sadiq Ali

Gonzalo Seco-Granados

José A. Lopez-Salcedo

Proceedings of the 21st European Signal Processing Conference, 2013

Enhanced Capon beamformer using regularized covariance matching.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Dynamic Iterative Pursuit.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Bayesian Estimation With Distance Bounds.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Alternating Least-Squares for Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Optimal prior knowledge-based direction of arrival estimation.

[BibT_eX]

[DOI]

IET Signal Process., 2012

Robust prior-based Direction of Arrival estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

An esprit-based parameter estimator for spectroscopic data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Ground plane feature detection in mobile vision-aided inertial navigation.

[BibT_eX]

[DOI]

Nasser Mohammadiha

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Dynamic subspace pursuit.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Postcorrection of Pipelined Analog-Digital Converters Based on Input-Dependent Integral Nonlinearity Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2011

Mirror Based IMU-camera and Internal Camera Calibration.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011

Vision-Aided Inertial Navigation Using Planar Terrain Features.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011

IMU-camera self-calibration using planar mirror reflection.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation, 2011

Self-motion and wind velocity estimation for small-scale UAVs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Prior knowledge-based direction of arrival estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Input-Dependent Integral Nonlinearity Modeling for Pipelined Analog-Digital Converters.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2010

Joint calibration of an inertial measurement unit and coordinate transformation parameters using a monocular camera.

[BibT_eX]

[DOI]

Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010

Calibration of the accelerometer triad of an inertial measurement unit, maximum likelihood estimation and Cramér-Rao bound.

[BibT_eX]

[DOI]

Isaac Skog

Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010

2009

Estimating MIMO channel covariances from training data under the Kronecker model.

[BibT_eX]

[DOI]

Signal Process., 2009

On maximum likelihood estimation in factor analysis - An algebraic derivation.

[BibT_eX]

[DOI]

Signal Process., 2009

2008

On Estimation of Covariance Matrices With Kronecker Product Structure.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

2007

DOA Estimation and Detection in Colored Noise Using Additional Noise-Only Data.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

Model Estimation for Car-following Dynamics based on Adaptive Filtering Approach.

[BibT_eX]

[DOI]

Xiaoliang Ma

Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

Model based dynamic characterization of analog-digital-converters at radio frequency.

[BibT_eX]

[DOI]

Peter Händel

Niclas Björsell

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Kronecker Structured Covariance Matrix Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Estimation of kronecker structured channel covariances using training data.

[BibT_eX]

[DOI]

Proceedings of the 15th European Signal Processing Conference, 2007

2006

Optimal Utilization of Signal-Free Samples for Array Processing in Unknown Colored Noise Fields.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Reduced rank linear regression and weighted low rank approximations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Synchronization at startup and stable rotation reversal of sensorless nonsalient PMSM drives.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2006

2005

Array interpolation and DOA MSE reduction.

[BibT_eX]

[DOI]

Per Hyberg

IEEE Trans. Signal Process., 2005

2004

Array interpolation and bias reduction.

[BibT_eX]

[DOI]

Per Hyberg

IEEE Trans. Signal Process., 2004

Weighted low rank approximation and reduced rank linear regression.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Unified sensorless vector control of synchronous and induction motors.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2003

2002

Array mapping: Optimal transformation matrix design.

[BibT_eX]

[DOI]

Per Hyberg

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Exploiting arrays with multiple invariances using MUSIC and MODE.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2001

Further results and insights on subspace based sinusoidal frequency estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2001

Estimating Optimal Weights for Instrumental Variable Methods.

[BibT_eX]

[DOI]

Digit. Signal Process., 2001

2000

MIMO system identification: state-space and subspace approximations versus transfer function and instrumental variables.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2000

Analysis of the asymptotic properties of the MOESP type of subspace algorithms.

[BibT_eX]

[DOI]

Dietmar Bauer

Autom., 2000

Application of MUSIC to arrays with multiple invariances.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2000

Structured covariance matrix estimation: a parametric approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2000

A new approach for tracking mobiles with local scattering modeling.

[BibT_eX]

[DOI]

Proceedings of the 10th European Signal Processing Conference, 2000

1999

A subspace method for direction of arrival estimation of uncorrelated emitter signals.

[BibT_eX]

[DOI]

Bo Göransson

IEEE Trans. Signal Process., 1999

Modified IQML and weighted subspace fitting without eigendecomposition.

[BibT_eX]

[DOI]

Signal Process., 1999

Forward-only and forward-backward sample covariances - A comparative study.

[BibT_eX]

[DOI]

Signal Process., 1999

On subspace based sinusoidal frequency estimation.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Analysis of forward-only and forward-backward sample covariances.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Weighted subspace fitting for general array error models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1998

On Consistency of Subspace Methods for System Identification.

[BibT_eX]

[DOI]

Bo Wahlberg

Autom., 1998

Modified IQML and a statistically efficient method for direction estimation without eigendecomposition.

[BibT_eX]

[DOI]

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Robust weighted subspace fitting in the presence of array model errors.

[BibT_eX]

[DOI]

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

On forward-backward mode for direction of arrival estimation.

[BibT_eX]

[DOI]

Proceedings of the 9th European Signal Processing Conference, 1998

1997

On Forward-Backward MODE for Array Signal Processing.

[BibT_eX]

[DOI]

Digit. Signal Process., 1997

Analysis of a subspace-based spatial frequency estimator.

[BibT_eX]

[DOI]

Bo Göransson

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

A linear regression approach to state-space subspace system identification.

[BibT_eX]

[DOI]