Blind separation using a class of new independence measures

Quasi-entropy (QE), a class of new independence measures, is proposed. By optimizing QE, blind separation of signals with arbitrary continuous distributions is achieved. Simulations verify these results.

[1]  Luxi Yang,et al.  A novel grid-box-counting method for blind separation of sources , 2001, Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489).

[2]  D. Chakrabarti,et al.  A fast fixed - point algorithm for independent component analysis , 1997 .

[3]  Terrence J. Sejnowski,et al.  Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.

[4]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[5]  Jean-Francois Cardoso,et al.  Blind signal separation: statistical principles , 1998, Proc. IEEE.