title: Time-frequency approach to underdetermined blind source separation.
abstract: This paper presents a new time-frequency (TF) underdetermined blind source separation approach based on Wigner-Ville distribution (WVD) and Khatri-Rao product to separate N non-stationary sources from M(M <; N) mixtures. First, an improved method is proposed for estimating the mixing matrix, where the negative value of the auto WVD of the sources is fully considered. Then after extracting all the auto-term TF points, the auto WVD value of the sources at every auto-term TF point can be found out exactly with the proposed approach no matter how many active sources there are as long as N ≤ 2M-1. Further discussion about the extraction of auto-term TF points is made and finally the numerical simulation results are presented to show the superiority of the proposed algorithm by comparing it with the existing ones.
authors.forename: Shengli
authors.initials: S
authors.lastname: Xie
authors.forename: Liu
authors.initials: L
authors.lastname: Yang
authors.forename: Jun-Mei
authors.initials: JM
authors.lastname: Yang
authors.forename: Guoxu
authors.initials: G
authors.lastname: Zhou
authors.forename: Yong
authors.initials: Y
authors.lastname: Xiang