A Model Selection Criterion for High-Dimensional Linear Regression

scholarly article by Arash Owrang & Magnus Jansson published 1 July 2018 in IEEE Transactions on Signal Processing

A linear regression approach to state-space subspace system identification

scholarly article by Magnus Jansson & Bo Wahlberg published July 1996 in Signal Processing

A model identification scheme for driver-following dynamics in road traffic

article

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

Alternating Least-Squares for Low-Rank Matrix Reconstruction

scholarly article by Dave Zachariah et al published April 2012 in IEEE Signal Processing Letters

An esprit-based parameter estimator for spectroscopic data

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

scholarly article by Dietmar Bauer & Magnus Jansson published April 2000 in Automatica

Array interpolation and DOA MSE reduction

Bayesian Estimation With Distance Bounds

Beamformers for sparse recovery

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

article

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

scholarly article published September 2010

Camera-aided inertial navigation using epipolar points

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

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

Dynamic Calibration of Undersampled Pipelined ADCs by Frequency Domain Filtering

Dynamic Iterative Pursuit

article published in 2012

Dynamic subspace pursuit

Efficient use of signal-free samples for DOA estimation and detection in colored noise

Enhanced Capon beamformer using regularized covariance matching

Estimating MIMO channel covariances from training data under the Kronecker model

article

Estimating Optimal Weights for Instrumental Variable Methods

article

Estimation for the Linear Model With Uncertain Covariance Matrices ⬇️

Experiences from Subspace System Identification - Comments from Process Industry Users and Researchers

Exploiting arrays with multiple invariances using MUSIC and MODE

Exploiting ground plane constraints for visual-inertial navigation

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

Further results and insights on subspace based sinusoidal frequency estimation

Fusing visual tags and inertial information for indoor navigation

article published in 2012

Ground plane feature detection in mobile vision-aided inertial navigation

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

IMU-camera self-calibration using planar mirror reflection

article

Image-based floor segmentation in visual inertial navigation

scholarly article published May 2013

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

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

scholarly article published May 2013

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

Kronecker Structured Covariance Matrix Estimation

Kronecker-Based Fusion Rule for Cooperative Spectrum Sensingwith Multi-Antenna Receivers

Line spectrum estimation with probabilistic priors

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

ML Estimation of Covariance Matrices with Kronecker and Persymmetric Structure

Mirror Based IMU-camera and Internal Camera Calibration

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

article

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

scholarly article published February 2007

Model order determination and segmentation of analog-digital converters integral non linearity

Modified IQML and weighted subspace fitting without eigendecomposition

Multi-antenna spectrum sensing by exploiting spatio-temporal correlation

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

On Estimation of Covariance Matrices With Kronecker Product Structure

scholarly article by Karl Werner et al published February 2008 in IEEE Transactions on Signal Processing

On Kronecker and Linearly Structured Covariance Matrix Estimation

On Toeplitz and Kronecker structured covariance matrix estimation

On maximum likelihood estimation in factor analysis—An algebraic derivation

scholarly article by Petre Stoica & Magnus Jansson published June 2009 in Signal Processing

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

Optimal prior knowledge-based direction of arrival estimation

scholarly article by P. Wirfält et al published 1 October 2012 in IET Signal Processing

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

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

Prior knowledge-based direction of arrival estimation

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

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

Realtime implementation of visual-aided inertial navigation using epipolar constraints

Reduced rank linear regression and weighted low rank approximations

scholarly article by K. Werner & Magnus Jansson published June 2006 in IEEE Transactions on Signal Processing

Robust prior-based Direction of Arrival estimation

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

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

Subspace-based frequency estimation utilizing prior information

Terrain Navigation for Underwater Vehicles Using the Correlator Method

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

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

Vision-Aided Inertial Navigation Using Planar Terrain Features

Weighted subspace fitting for general array error models