GridModel - ICA

Software

ICALAB toolbox for Matlab (ver. 3 (28/03/2007)).

FPICA (Fixed-Point ICA) algorithm

Fixed Point or Fast ICA algorithm has been originally developed and implemented by Aapo Hyvärinen and Erkki Oja.

Ordering: Canonical Correlation Analysis

grid8x8_1d_fpica.png

COMBI (Combination of WASOBI and EFICA)

Ordering: Canonical Correlation Analysis

grid8x8_1d_combi.png

AMUSE (SOS Algorithm for Multiple Unknown Source Extraction)

AMUSE - Algorithm for Multiple Unknown Source Extraction is based on the EVD of a single time-delayed covariance matrix for prewhitened data. Default is unit time delay, however, the user can specify arbitrary time delay.
This algorithm was originally proposed by L. Tong et al.

Ordering: Canonical Correlation Analysis

grid8x8_1d_amuse.png

SAD (Sequential Approximate Diagonalization)

Xi-Lin Li and Xian-Da Zhang proposed an efficient algorithm for sequential blind extraction exploiting the second-order statistics (SOS).

Ordering: Canonical Correlation Analysis

grid8x8_1d_sad.png