TABLE I.
Comparison of online ICA methods.
| Name | Author | Year | Learning rule and optimization method | Pre-whitening |
|---|---|---|---|---|
| EASI | Cardoso et al. [12] | 1996 | Relative gradient-based (LMS) that max. kurtosis | LMS |
| NG | Amari et al. [13] | 1996 | Natural gradient-based (LMS) that min. mutual information | no |
| RLS-NPCA | Karhunen et al. [16] | 1997 | RLS that min. LSE of NPCA criterion | PCA |
| Iterative Inversion | Cruces-Alvarez et al. [17] | 2000 | Quasi-Newton method with iterative inversion that decorrelates high order statistics | no |
| NG-RLS | Zhu et al. [18] | 2004 | RLS with natural gradient that min. LSE of NPCA criterion | RLS |
| ORICA | Akhtar et al. [19] | 2012 | Recursive rule with iterative invesrion from fixed-point solution of Infomax with natural gradient | no |