DocumentCode
955997
Title
CuBICA: independent component analysis by simultaneous third- and fourth-order cumulant diagonalization
Author
Blaschke, Tobias ; Wiskott, Laurenz
Author_Institution
Inst. for Theor. Biol., Humboldt Univ., Berlin, Germany
Volume
52
Issue
5
fYear
2004
fDate
5/1/2004 12:00:00 AM
Firstpage
1250
Lastpage
1256
Abstract
CuBICA, which is an improved method for independent component analysis (ICA) based on the diagonalization of cumulant tensors is proposed. It is based on Comon´s algorithm, but it takes third- and fourth-order cumulant tensors into account simultaneously. The underlying contrast function is also mathematically much simpler and has a more intuitive interpretation. It is therefore easier to optimize and approximate. A comparison with Comon´s and three other ICA algorithms on different data sets demonstrates its performance.
Keywords
approximation theory; higher order statistics; independent component analysis; optimisation; signal processing; Comon algorithm; CuBICA; approximation; data sets; fourth-order cumulant diagonalization; independent component analysis; optimization; third-order cumulant diagonalization; Acoustic noise; Analytical models; Independent component analysis; Signal processing; Tensile stress; Yield estimation;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2004.826173
Filename
1284823
Link To Document