IEEE Transactions on Signal Processing, 52(5):1250-1256 (2004-05-) (bibtex, paper.pdf, paper.ps.gz)

CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization.

Tobias Blaschke and Laurenz Wiskott


Abstract: CuBICA, an improved method for independent component analysis (ICA) based on the diagonalization of cumulant tensors is proposed. It is based on Comon's algorithm [Comon, 1994] 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.


Relevant Project:


November 10, 2004, Laurenz Wiskott, http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/wiskott/