On Recoverability of Blind Source Separation Based on Sparse Representation
Hai‐Lin Liu · Journal of Guangdong University of Technology · 2007
This paper discusses the recoverability of underdetermined blind source separation(BSS),based on a two-stage sparse representation approach.Within the stochastic framework blind source separation it is usually predicted that source signals are sufficiently sparse.This paper estimates recoverability probability when source signals are not sufficiently sparse,which not only reflects the relationship between the recoverability and sparseness of sources but also indicates the effectiveness of the two-stage sparse representation approach to solving BSS.