Title :
A fast algorithm for blind separation of sources based on the cross-cumulant and Levenberg-Marquardt method
Author :
Mansour, A. ; Barros, A. Kardec ; Kawamoto, M. ; Ohnishi, N.
Author_Institution :
RIKEN, Bio-Mimetic Control Res. Center, Nagoya, Japan
Abstract :
A new algorithm for the instantaneous mixture of the blind separation of sources problem is derived. This algorithm deals with multi-input multi-output (MIMO) channels. The cost function proposed in this paper can be considered as an extension of that previously proposed by us for only two sources and two sensors. The cost function is based on the cross-cumulant 2×2 and it is minimized using the Levenberg-Marquardt method. Generally, algorithm convergence is attained in less than 50 iterations and the experimental results are satisfactory even with five stationary sources and two non-stationary sources
Keywords :
MIMO systems; convergence of numerical methods; higher order statistics; iterative methods; minimisation; signal processing; Levenberg-Marquardt method; MIMO channels; algorithm convergence; blind source separation; cost function; cross-cumulant; instantaneous mixture; iterations; minimization; multi-input multi-output channels; non-stationary sources; stationary sources; Biosensors; Cost function; MIMO; Minimization methods; Signal processing algorithms; Statistics;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770216
