@inproceedings{39cdae2503c84679be7b64b9080b1b37,
title = "Extension of the Sequentially Drilled Joint Congruence transformation (SeDJoCo) problem",
abstract = "The Sequentially Drilled Joint Congruence (SeDJoCo) transformation has been identified as an important tool in the context of both Blind Source Separation (BSS) and closed-form Coordinated Beamforming (CBF) for the multi-user MIMO downlink. It can be interpreted as a new tensor decomposition. In this contribution, we introduce an extension of the SeDJoCo problem and address its links to the field of Independent Vector Analysis (IVA) and to CBF in a multicast framework. A solution of the extended SeDJoCo problem is proposed by extending the LU decomposition-based concept that is frequently used for joint matrix diagonalization. Data sets in an IVA setup are used in numerical simulations which show that the proposed algorithm is very efficient in finding the exact solution for the extended SeDJoCo problem, at least in a two-data-set case.",
author = "Yao Cheng and Arie Yeredor and Amir Weiss and Martin Haardt",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",
year = "2015",
doi = "10.1109/camsap.2015.7383767",
language = "الإنجليزيّة",
series = "2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "185--188",
booktitle = "2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015",
address = "الولايات المتّحدة",
}