Spares Component Analysis and Application for Underdetemined Blind Source Separation

With the development of blind source separation (BSS),various algorithms have been proposed except the classic al- gorithms such as independent component analysis (ICA). Sparse component analysis (SCA) based on sparse representation is one of the newly developed algorithms. SCA solves the problem of underdetermined BSS that ICA doesn' t solve. This paper presents a survey and review focusing on the study and development of SCA.