Generalized Unitary Joint Diagonalization algorithm based on approximate Givens rotations

Like the Joint Diagonalization of a unique set of matrices, Generalized Joint Diagonalization is an algebraic problem encountered in different applications such as data fusion and blind source separation. This paper proposes a new generalized unitary joint diagonalization approach based on the Jacob...

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Bibliographic Details
Published in:	IEEE signal processing letters Vol. 31; pp. 1 - 5
Main Authors:	Azzouz, Malika, Mesloub, Ammar, Abed-Meraim, Karim, Belouchrani, Adel
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Subjects:	Algorithms Approximation Approximation algorithms Convergence Covariance matrices Criteria Data integration Engineering Sciences Estimation Generalized Unitary Joint Diagonalization (GUJD) Givens rotations Iterative methods Jacobi iterative algorithm Jacobian matrices Joint Blind Source Separation (JBSS) Mathematical models Parameters Signal and Image processing Signal processing algorithms
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
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