Gradient based Approximate Joint Diagonalization by orthogonal transforms. - Mikael Sørensen; Sylvie Icart; Pierre Comon; Luc Deneire (EUSIPCO, 2008)

Approximate tensor diagonalization by invertible transforms. - Mikael Sørensen; Pierre Comon; Sylvie Icart; Luc Deneire (EUSIPCO, 2009)

An efficient Jacobi-type algorithm for blind equalization of paraunitary channels. - Mikael Sørensen; Lieven De Lathauwer; Luc Deneire (EUSIPCO, 2009)

PARAFAC2 Receivers for Orthogonal Space-Time Block Codes. - Mikael Sørensen; Pierre Comon; Sylvie Icart; Luc Deneire (ICC, 2009)

Decomposing tensors with structured matrix factors reduces to rank-1 approximations. - Pierre Comon; Mikael Sørensen; Elias P. Tsigaridas (ICASSP, 2010)

Parafac with orthogonality in one mode and applications in DS-CDMA systems. - Mikael Sørensen; Lieven De Lathauwer; Luc Deneire (ICASSP, 2010)

Tensor decompositions with block-Toeplitz structure and applications in signal processing. - Mikael Sørensen; Lieven De Lathauwer (ACSCC, 2011)

Tensor decompositions with Vandermonde factor and applications in signal processing. - Mikael Sørensen; Lieven De Lathauwer (ACSCC, 2012)

Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix. - Mikael Sørensen; Lieven De Lathauwer; Pierre Comon; Sylvie Icart; Luc Deneire (SIAM J. Matrix Anal. Appl., 2012)

On Jacobi-type methods for blind equalization of paraunitary channels. - Mikael Sørensen; Lieven De Lathauwer; Sylvie Icart; Luc Deneire (Signal Process., 2012)

Coupled tensor decompositions for applications in array signal processing. - Mikael Sørensen; Lieven De Lathauwer (CAMSAP, 2013)

Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2013)

Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach. - Mikael Sørensen; Lieven De Lathauwer (SAM, 2014)

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (Lr, n, Lr, n, 1) Terms - Part II: Algorithms. - Mikael Sørensen; Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(Lr, n, Lr, n, 1) Terms - Part I: Uniqueness. - Mikael Sørensen; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors. - Mikael Sørensen; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

Shift invariance, incomplete arrays and coupled CPD: A case study. - Mikael Sørensen; Lieven De Lathauwer (SAM, 2016)

Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2016)

Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array. - Steven Delrue; Vladislav Aleshin; Mikael Sørensen; Lieven De Lathauwer (Sensors, 2017)

Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification. - Frederik Van Eeghem; Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions. - Mikael Sørensen; Frederik Van Eeghem; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing. - Mikael Sørensen; Ignat Domanov; Lieven De Lathauwer (IEEE Trans. Signal Process., 2018)

Joint Low-Rank Factorizations with Shared and Unshared Components: Identifiability and Algorithms. - Mikael Sørensen; Nikolaos D. Sidiropoulos (EUSIPCO, 2019)

Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach. - Mikael Sørensen; Nicholas D. Sidiropoulos; Lieven De Lathauwer (ICASSP, 2019)

Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion. - Mikael Sørensen; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2019)

Multi-Set Low-Rank Factorizations With Shared and Unshared Components. - Mikael Sørensen; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2020)

Uncovering migration systems through spatio-temporal tensor co-clustering. - Zack W. Almquist; Tri Duc Nguyen; Mikael Sørensen; Xiao Fu 001; Nicholas D. Sidiropoulos (CoRR, 2021)

Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. - Mikael Sørensen; Charilaos I. Kanatsoulis; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2021)

Canonical Identification of Autoregressive Nonlinear Systems. - Nicholas D. Sidiropoulos; Mikael Sørensen (IEEECONF, 2022)

Identifiability Results for Nonuniform Linear and Rectangular Sensor Arrays. - Mikael Sørensen; Nicholas D. Sidiropoulos (EUSIPCO, 2022)

Overlapping Community Detection via Semi-Binary Matrix Factorization: Identifiability and Algorithms. - Mikael Sørensen; Nicholas D. Sidiropoulos; Ananthram Swami (IEEE Trans. Signal Process., 2022)

Radio-Astronomy Imaging and Interference Excision Using Tensor Decomposition and Canonical Correlation Analysis. - Mikael Sørensen; Nicholas D. Sidiropoulos (ICASSP, 2023)

Multilinear singular value decomposition of a tensor with fibers observed along one mode*. - Stijn Hendrikx; Mikael Sørensen; Lieven De Lathauwer (SSP, 2023)

Multilinear Singular Value Decomposition-Based Completion with Fibers Observed in a Single Mode. - Mikael Sørensen; Stijn Hendrikx; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2025)