A new approach to blind separation of cyclostationary sources
Karim Abed‐Meraim, Yong Xiang, J.H. Manron, Yingbo Hua · 2003
This paper studies the problem of blind source separation (BSS) under the assumption that the source signals are cyclostationary. Attention is restricted to methods based on second-order cyclostationary statistics (SOCS). Necessary and sufficient conditions for SOCS-based identifiability and SOCS-based separability are presented. Algorithms are developed to achieve BSS using only SOCS.