TY  - GEN
N1  - The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-74690-4_69
TI  - Post Nonlinear Independent Subspace Analysis
EP  -  686
AV  - public
SP  - 677 
Y1  - 2007/09/09/
A1  - Szabo, Z
A1  - Póczos, B
A1  - Szirtes, G
A1  - L?rincz, A
ID  - discovery1433230
N2  - In this paper a generalization of Post Nonlinear Independent Component Analysis (PNL-ICA) to Post Nonlinear Independent Subspace Analysis (PNL-ISA) is presented. In this framework sources to be identified can be multidimensional as well. For this generalization we prove a separability theorem: the ambiguities of this problem are essentially the same as for the linear Independent Subspace Analysis (ISA). By applying this result we derive an algorithm using the mirror structure of the mixing system. Numerical simulations are presented to illustrate the efficiency of the algorithm.
UR  - http://dx.doi.org/10.1007/978-3-540-74690-4_69
PB  - Springer-Verlag, Berlin Heidelberg
ER  -