TY - GEN
T1 - On the use of joint diagonalization in blind signal processing
AU - Theis, Fabian J.
AU - Inouye, Yujiro
PY - 2006
Y1 - 2006
N2 - Blind source separation (BSS) tries to decompose a given multivariate data set into the product of a mixing matrix and a source vector, both of which are unknown. The sources can be recovered if we pose additional constraints to this model. One class of BSS algorithms is given by algebraic BSS, which recovers the mixing structure by jointly diagonalizing various source condition matrices corresponding to different source models. We review classical BSS algorithms such as FOBI, JADE, AMUSE, SOBI, TDSEP and SONS within this framework; combination of the respective source conditions can then yield additional algorithms as implemented e.g. by JADETD. Extensions to dependent component analysis models such as spatiotemporal or multidimensional BSS are discussed.
AB - Blind source separation (BSS) tries to decompose a given multivariate data set into the product of a mixing matrix and a source vector, both of which are unknown. The sources can be recovered if we pose additional constraints to this model. One class of BSS algorithms is given by algebraic BSS, which recovers the mixing structure by jointly diagonalizing various source condition matrices corresponding to different source models. We review classical BSS algorithms such as FOBI, JADE, AMUSE, SOBI, TDSEP and SONS within this framework; combination of the respective source conditions can then yield additional algorithms as implemented e.g. by JADETD. Extensions to dependent component analysis models such as spatiotemporal or multidimensional BSS are discussed.
UR - https://www.scopus.com/pages/publications/34547268066
M3 - Conference contribution
AN - SCOPUS:34547268066
SN - 0780393902
SN - 9780780393905
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 3586
EP - 3589
BT - ISCAS 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Symposium on Circuits and Systems, ISCAS 2006
Y2 - 21 May 2006 through 24 May 2006
ER -