A study of identifibility for blind source separation via non-orthogonal joint diagonalization

Hua Zhang, Da Zheng Feng, Xing Zheng Wei

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Citations (Scopus)

Abstract

The problem of blind source separation (BSS) using joint diagonalization of a set of non-unitary eigen-matrices that are obtained with the observed signal vector sequence is addressed in this paper. A theoretical study is conducted of the identifiability of joint diagonalization of non-orthogonal matrices so as to generalize some known results for the orthogonal case. In particular, a mathematical proof is provided for essential uniqueness of general joint diagonalization, that is to say, all the estimated mixing matrices extracted from the non-unitary eigen-matrix group are essentially equal within an arbitrary permutation and scaling. The non-orthogonal identifiability theorem given in this paper serves as a mathematical foundation for the BSS methods based on the non-orthogonal joint diagonalization.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages3230-3233
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
Duration: 18 May 200821 May 2008

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Country/TerritoryUnited States
CitySeattle, WA
Period18/05/0821/05/08

Fingerprint

Dive into the research topics of 'A study of identifibility for blind source separation via non-orthogonal joint diagonalization'. Together they form a unique fingerprint.

Cite this