An adaptive entropy optimization algorithm for blind source separation
Yi-Xiang Wang · 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). · 2004
Independent component analysis (ICA) or blind signal separation (BSS) has become an increasing important research field due to its rapidly growing applications in various areas, such as telecommunication systems, sonar and radar systems, audio and acoustics, image enhancement and biomedical signal processing. First, a novel adaptive ICA (AICA) entropy optimization algorithm for finding pairs of simplified activation functions (SAF) is introduced. Then, the theoretical explanation is described. Finally we discuss the algorithm with a few existing representative methods. Experimental simulation results prove that the algorithm is effective at separating signals.