Joint diagonalization: Is non-orthogonal always preferable to orthogonal?

Author

Souloumiac, Antoine

Author_Institution

Stochastic Processes & Spectra Lab., CEA Saclay, Gif-sur-Yvette, France

fYear

2009

fDate

13-16 Dec. 2009

Firstpage

305

Lastpage

308

Abstract

This paper deals with the efficiency of orthogonal versus non-orthogonal joint diagonalization techniques for blind source separation. The question is: are non-orthogonal algorithms always preferable to orthogonal ones in practical noisy conditions? The two techniques are compared in terms of separation performance through numerical simulations with different levels of additive noise and numbers of samples. Both fourth-order and second-order blind source separation contexts are investigated.

Keywords

blind source separation; independent component analysis; additive noise; fourth-order blind source separation; independent component analysis; nonorthogonal joint diagonalization techniques; numerical simulations; orthogonal joint diagonalization techniques; second-order blind source separation; Additive noise; Blind source separation; Conferences; Covariance matrix; Decorrelation; Laboratories; Sensor phenomena and characterization; Signal processing; Source separation; Stochastic processes; J-Di; JADE; Non-orthogonal joint diagonalization; SOBI; blind source separation; independent component analysis; orthogonal joint diagonalisation; pre-whitening;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on

Conference_Location

Aruba, Dutch Antilles

Print_ISBN

978-1-4244-5179-1

Electronic_ISBN

978-1-4244-5180-7

Type

conf

DOI

10.1109/CAMSAP.2009.5413273

Filename

5413273