Lieven De Lathauwer

Orcid: 0000-0001-5562-5014

Affiliations:
  • Catholic University of Leuven, Belgium


According to our database1, Lieven De Lathauwer authored at least 183 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2015, "For contributions to signal processing algorithms using tensor decompositions".

Timeline

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Online presence:

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Bibliography

2024
A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems.
SIAM J. Matrix Anal. Appl., March, 2024

2023
On Best Low Rank Approximation of Positive Definite Tensors.
SIAM J. Matrix Anal. Appl., June, 2023

Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions.
IEEE Trans. Signal Process., 2023

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Medical Image Anal., 2023

Tensorlab<sup>+</sup>: A Case Study on Reproducibility in Tensor Research.
Comput. Sci. Eng., 2023

Multilinear singular value decomposition of a tensor with fibers observed along one mode<sup>*</sup>.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application.
Proceedings of the 31st European Signal Processing Conference, 2023

Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Updating the Multilinear UTV Decomposition.
IEEE Trans. Signal Process., 2022

Canonical Polyadic Decomposition via the Generalized Schur Decomposition.
IEEE Signal Process. Lett., 2022

From multilinear SVD to multilinear UTV decomposition.
Signal Process., 2022

$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials.
SIAM J. Matrix Anal. Appl., 2022

A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition.
SIAM J. Matrix Anal. Appl., 2022

Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor.
SIAM J. Matrix Anal. Appl., 2022

Equivalent polyadic decompositions of matrix multiplication tensors.
J. Comput. Appl. Math., 2022

Regression and Classification With Spline-Based Separable Expansions.
Frontiers Big Data, 2022

Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution.
Frontiers Appl. Math. Stat., 2022

CPD-Structured Multivariate Polynomial Optimization.
Frontiers Appl. Math. Stat., 2022

CPD Computation via Recursive Eigenspace Decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition.
SIAM J. Matrix Anal. Appl., 2021

Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition.
SIAM J. Matrix Anal. Appl., 2021

From Computation to Comparison of Tensor Decompositions.
SIAM J. Matrix Anal. Appl., 2021

Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions.
IEEE J. Sel. Top. Signal Process., 2021

Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions.
Proceedings of the 29th European Signal Processing Conference, 2021

Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost.
IEEE Trans. Signal Process., 2020

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag., 2020

On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-(1, L<sub>r, L<sub>r)</sub></sub> Terms.
SIAM J. Matrix Anal. Appl., 2020

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR, 2020

Early soft and flexible fusion of EEG and fMRI via tensor decompositions.
CoRR, 2020

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging.
IEEE Trans. Biomed. Eng., 2019

Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions.
Signal Process. Image Commun., 2019

Exploiting Efficient Representations in Large-Scale Tensor Decompositions.
SIAM J. Sci. Comput., 2019

Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion.
SIAM J. Matrix Anal. Appl., 2019

Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials.
Comput. Methods Appl. Math., 2019

Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Rank-one Tensor Approximation with Beta-divergence Cost Functions.
Proceedings of the 27th European Signal Processing Conference, 2019

Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity.
Proceedings of the 27th European Signal Processing Conference, 2019

NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution.
Proceedings of the 27th European Signal Processing Conference, 2019

Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0.
Proceedings of the IEEE Data Science Workshop, 2019

Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Low Multilinear Rank Updating.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing.
IEEE Trans. Signal Process., 2018

Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation.
IEEE Trans. Signal Process., 2018

Coupled and Incomplete Tensors in Blind System Identification.
IEEE Trans. Signal Process., 2018

Tensor Similarity in Two Modes.
IEEE Trans. Signal Process., 2018

Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors.
IEEE Signal Process. Lett., 2018

Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications.
Numer. Linear Algebra Appl., 2018

Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

CPD Updating Using Low-Rank Weights.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Large-Scale Autoregressive System Identification Using Kronecker Product Equations.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A variable projection method for block term decomposition of higher-order tensors.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling.
IEEE Trans. Signal Process., 2017

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability.
IEEE Trans. Signal Process., 2017

Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions.
IEEE Trans. Signal Process., 2017

Tensor Decomposition for Signal Processing and Machine Learning.
IEEE Trans. Signal Process., 2017

Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification.
IEEE Trans. Signal Process., 2017

Tensor-Based Large-Scale Blind System Identification Using Segmentation.
IEEE Trans. Signal Process., 2017

A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation.
IEEE Trans. Signal Process., 2017

Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas.
IEEE J. Biomed. Health Informatics, 2017

Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations.
IEEE Signal Process. Lett., 2017

On the Largest Multilinear Singular Values of Higher-Order Tensors.
SIAM J. Matrix Anal. Appl., 2017

Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array.
Sensors, 2017

Second-order tensor-based convolutive ICA: Deconvolution versus tensorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Nonlinear least squares updating of the canonical polyadic decomposition.
Proceedings of the 25th European Signal Processing Conference, 2017

Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization.
Proceedings of the 25th European Signal Processing Conference, 2017

Irregular heartbeat classification using Kronecker Product Equations.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Face recognition as a kronecker product equation.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Coupled matrix-tensor factorizations - The case of partially shared factors.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach.
IEEE Trans. Signal Process., 2016

Löwner-Based Blind Signal Separation of Rational Functions With Applications.
IEEE Trans. Signal Process., 2016

A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors.
IEEE J. Sel. Top. Signal Process., 2016

Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation.
IEEE J. Sel. Top. Signal Process., 2016

Exact line and plane search for tensor optimization.
Comput. Optim. Appl., 2016

Shift invariance, incomplete arrays and coupled CPD: A case study.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A tensor-based method for large-scale blind system identification using segmentation.
Proceedings of the 24th European Signal Processing Conference, 2016

Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas.
Proceedings of the 24th European Signal Processing Conference, 2016

Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015

New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors.
SIAM J. Matrix Anal. Appl., 2015

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(L<sub>r, n, L<sub>r, n, 1)</sub></sub> Terms - Part I: Uniqueness.
SIAM J. Matrix Anal. Appl., 2015

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (L<sub>r, n</sub>, L<sub>r, n</sub>, 1) Terms - Part II: Algorithms.
SIAM J. Matrix Anal. Appl., 2015

Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL.
SIAM J. Matrix Anal. Appl., 2015

Structured Data Fusion.
IEEE J. Sel. Top. Signal Process., 2015

Blind signal separation of rational functions using Löwner-based tensorization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Stochastic and Deterministic Tensorization for Blind Signal Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A novel deterministic method for large-scale blind source separation.
Proceedings of the 23rd European Signal Processing Conference, 2015

Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis.
IEEE Signal Process. Mag., 2014

Numerical Solution of Bivariate and Polyanalytic Polynomial Systems.
SIAM J. Numer. Anal., 2014

Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition.
SIAM J. Matrix Anal. Appl., 2014

Learning with tensors: a framework based on convex optimization and spectral regularization.
Mach. Learn., 2014

Introduction to the special issue.
J. Comput. Appl. Math., 2014

Block term decomposition for modelling epileptic seizures.
EURASIP J. Adv. Signal Process., 2014

Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013
Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition.
IEEE Trans. Signal Process., 2013

On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part II: Uniqueness of the Overall Decomposition.
SIAM J. Matrix Anal. Appl., 2013

On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part I: Basic Results and Uniqueness of One Factor Matrix.
SIAM J. Matrix Anal. Appl., 2013

Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(L<sub>r, L<sub>r, 1)</sub></sub> Terms, and a New Generalization.
SIAM J. Optim., 2013

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.
CoRR, 2013

Coupled tensor decompositions for applications in array signal processing.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Classification of Multichannel Signals With Cumulant-Based Kernels.
IEEE Trans. Signal Process., 2012

A combination of parallel factor and independent component analysis.
Signal Process., 2012

On Jacobi-type methods for blind equalization of paraunitary channels.
Signal Process., 2012

Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix.
SIAM J. Matrix Anal. Appl., 2012

Unconstrained Optimization of Real Functions in Complex Variables.
SIAM J. Optim., 2012

Block Component Analysis, a New Concept for Blind Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Tensor decompositions with Vandermonde factor and applications in signal processing.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Spatially constrained ICA algorithm with an application in EEG processing.
Signal Process., 2011

Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification.
Signal Process., 2011

Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(L<sub>r, L<sub>r, 1)</sub></sub> Terms.
SIAM J. Matrix Anal. Appl., 2011

Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme.
SIAM J. Matrix Anal. Appl., 2011

A kernel-based framework to tensorial data analysis.
Neural Networks, 2011

A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors.
Proceedings of the 19th European Signal Processing Conference, 2011

Tensor decompositions with block-Toeplitz structure and applications in signal processing.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Hybrid Clustering of Multiple Information Sources via HOSVD.
Proceedings of the Advances in Neural Networks, 2010

Parafac with orthogonality in one mode and applications in DS-CDMA systems.
Proceedings of the IEEE International Conference on Acoustics, 2010

Kernel-Based Learning from Infinite Dimensional 2-Way Tensors.
Proceedings of the Artificial Neural Networks, 2010

A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Improved non-parametric sparse recovery with data matched penalties.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
A Geometric Newton Method for Oja's Vector Field.
Neural Comput., 2009

Differential-geometric Newton method for the best rank-(<i>R</i><sub>1</sub>, <i>R</i><sub>2</sub>, <i>R</i><sub>3</sub>) approximation of tensors.
Numer. Algorithms, 2009

A Survey of Tensor Methods.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

An efficient Jacobi-type algorithm for blind equalization of paraunitary channels.
Proceedings of the 17th European Signal Processing Conference, 2009

Low multilinear rank tensor approximation via semidefinite programming.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
A Block Component Model-Based Blind DS-CDMA Receiver.
IEEE Trans. Signal Process., 2008

Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization.
IEEE Trans. Signal Process., 2008

Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms.
IEEE Trans. Signal Process., 2008

An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA.
Signal Process., 2008

A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic I˟J˟2 Arrays.
SIAM J. Matrix Anal. Appl., 2008

Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms.
SIAM J. Matrix Anal. Appl., 2008

Special Issue on Tensor Decompositions and Applications.
SIAM J. Matrix Anal. Appl., 2008

Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness.
SIAM J. Matrix Anal. Appl., 2008

Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices.
SIAM J. Matrix Anal. Appl., 2008

Algorithm for imposing SOBI-type constraints on the CP model.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Swamp reducing technique for tensor decomposition.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures.
IEEE Trans. Signal Process., 2007

Higher Order Tensor-Based Method for Delayed Exponential Fitting.
IEEE Trans. Signal Process., 2007

A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling.
IEEE Signal Process. Lett., 2007

Tensor-based techniques for the blind separation of DS-CDMA signals.
Signal Process., 2007

Efficiently updating and tracking the dominant kernel principal components.
Neural Networks, 2007

Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone.
NeuroImage, 2007

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study.
Comput. Intell. Neurosci., 2007

Imposing Independence Constraints in the CP Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
The use of total least squares data fitting in the shape-from-moments problem.
Signal Process., 2006

Common pole estimation in multi-channel exponential data modeling.
Signal Process., 2006

A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization.
SIAM J. Matrix Anal. Appl., 2006

A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Second-Order Blind Identification of Underdetermined Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A prewhitening-induced bound on the identification error in independent component analysis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Exponential data fitting using multilinear algebra: the single-channel and multi-channel case.
Numer. Linear Algebra Appl., 2005

Delayed exponential fitting by best tensor rank-(R<sub>1</sub>, R<sub>2</sub>, R<sub>3</sub>) approximation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition.
SIAM J. Matrix Anal. Appl., 2004

Dimensionality Reduction in ICA and Rank-(R<sub>1</sub>, R<sub>2</sub>, ..., R<sub>N</sub>) Reduction in Multilinear Algebra.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Algebraic techniques for the blind deconvolution of Constant Modulus signals.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Thin QR and SVD factorizations for simultaneous blind signal extraction.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

An algebraic technique for the blind separation of DS-CDMA signals.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
A QR-type reduction for computing the SVD of a general matrix product/quotient.
Numerische Mathematik, 2003

2002
Blind Identification of Convolutive MIMO Systems with 3 Sources and 2 Sensors.
EURASIP J. Adv. Signal Process., 2002

Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors.
Proceedings of the IEEE International Conference on Acoustics, 2002

On the blind separation of non-circular sources.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Independent component analysis and (simultaneous) third-order tensor diagonalization.
IEEE Trans. Signal Process., 2001

2000
Fetal electrocardiogram extraction by blind source subspace separation.
IEEE Trans. Biomed. Eng., 2000

On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> , <i>R</i><sub>2</sub>, ... , <i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors.
SIAM J. Matrix Anal. Appl., 2000

A Multilinear Singular Value Decomposition.
SIAM J. Matrix Anal. Appl., 2000

On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition.
SIAM J. Matrix Anal. Appl., 2000

An algebraic approach to the blind identification of paraunitary filters.
Proceedings of the 2000 IEEE Wireless Communications and Networking Conference, 2000

SVD-based methodologies for fetal electrocardiogram extraction.
Proceedings of the IEEE International Conference on Acoustics, 2000

An algebraic ICA algorithm for 3 sources and 2 sensors.
Proceedings of the 10th European Signal Processing Conference, 2000

Blind MIMO system identification based on cross-polyspectra.
Proceedings of the 10th European Signal Processing Conference, 2000

1998
A residual bound for the mixing matrix in ICA.
Proceedings of the 9th European Signal Processing Conference, 1998

1996
Blind source separation by simultaneous third-order tensor diagonalization.
Proceedings of the 8th European Signal Processing Conference, 1996


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