Block Adaptive ICA with a Time Varying Mixing Matrix

Independent component analysis effectively resolves fixed linear combinations of independent distributions under requirements that include long block length. In environments where the rules of source combination change rapidly, adaptive or block adaptive methods must be deployed; and associated problems of convergence and permutation ambiguity solved. We propose using ICA on overlapping blocks and resolve the permutation ambiguity based on the principle of correlation continuity. We explore the effect of block length, overlap percentage and sufficiency and utility of second order statistics to maintain continuity in the resolved signals. We demonstrate results using simulated test signals and real speech recordings.